{"title":"Edge AI Lab Kits","description":"\u003cp\u003eKits with the hardware for the free, open ML Systems labs (\u003ca href=\"https:\/\/mlsysbook.ai\/kits\"\u003emlsysbook.ai\u003c\/a\u003e): keyword spotting, motion classification, image classification and object detection on ESP32 boards, and small language models on a Raspberry Pi 5. The labs are written for other boards; these are equivalent parts, and Soldr adapts the lab code to their pins.\u003c\/p\u003e\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e","products":[{"product_id":"kit-esp32-s3-edge-impulse-motion-classifier","title":"ESP32-S3 Edge Impulse Motion Classifier Kit with ESP32 + MPU6050","description":"\u003cp\u003eESP32-S3 Edge Impulse Motion Classifier Kit with ESP32 + MPU6050 — an intermediate-level kit for teens.\u003c\/p\u003e\u003ch1\u003eBuild a Real-Time Motion Classifier on ESP32-S3 with Edge Impulse and MPU6050\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 1-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 4-5 hours\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15-18\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Embedded Machine Learning\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eWith this kit, you'll train a machine learning model on your PC using Edge Impulse, deploy it to the ESP32-S3, and strap the MPU6050 to your ankle to see real-time activity classification on the OLED. It's a complete end-to-end embedded ML project that mirrors industrial human activity recognition systems, scaled for learning.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou'll wire the MPU6050 accelerometer to the ESP32-S3, collect motion data for three activities, train a neural network in Edge Impulse, and deploy the TFLite model to classify walking, running, and idle states. The OLED displays predicted activity and confidence scores instantly, turning raw sensor data into actionable insight.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eCollecting and labeling accelerometer data for machine learning\u003c\/li\u003e\n  \u003cli\u003eDesigning and training a neural network using Edge Impulse's web interface\u003c\/li\u003e\n  \u003cli\u003eDeploying a TensorFlow Lite model on the ESP32-S3 for real-time inference\u003c\/li\u003e\n  \u003cli\u003eDisplaying sensor outputs and ML predictions on an OLED screen\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eESP32-S3 Dev Board\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMPU6050\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e0.96in OLED\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e4.7kΩ Resistors\u003c\/td\u003e\n\u003ctd\u003ex5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e100nF Caps\u003c\/td\u003e\n\u003ctd\u003ex5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e400-pt Breadboard\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eM-M Wires\u003c\/td\u003e\n\u003ctd\u003ex20\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C Cable\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eThis kit is ideal for CBSE Class 11-12 students exploring AI and IoT for their practical exams, B.Tech ECE\/EEE undergraduates building mini-projects, and teams preparing for Smart India Hackathon or ATL Tinkering Lab innovation challenges. If you've tinkered with Arduino and want to step into embedded machine learning, this kit provides the perfect guided pathway.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eOur AI companion provides live troubleshooting for every step. You can also send a photo via WhatsApp and our team in Bengaluru will help within 24 hours.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need prior machine learning experience?\u003c\/summary\u003e\u003cp\u003eNo. Edge Impulse handles the heavy lifting; you'll label data and click 'Train'. The kit includes example datasets and a pre-trained model to get immediate results.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I extend this project to classify more than three activities?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The pipeline is fully adaptable. Once you understand data collection and training, you can add gestures like jumping or sitting — the ESP32-S3 has plenty of processing headroom.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDoes the classifier work offline after setup?\u003c\/summary\u003e\u003cp\u003eYes. The TFLite model runs locally on the ESP32-S3; no internet connection is needed for inference. Edge Impulse is only required during the training phase on your computer.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eMPU6050 feeds Edge Impulse TFLite model on ESP32-S3 classifying walking, running and idle states.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/esp32-s3-devkitc-1-n16r8-development-board\"\u003eESP32-S3 Dev Board\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/mpu6050-imu-module-6-axis-gyro-accelerometer-for-arduino\"\u003eMPU6050\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/096in-oled-display-128x64-i2cspi-for-arduino-raspberry-pi\"\u003e0.96in OLED\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e4.7kΩ Resistors\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/capacitor-variety-pack-6-values-100nf-to-470uf-30-pieces\"\u003e100nF Caps\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/small-breadboard-400-points-mini-solderless-board-for-electronics-prototyping\"\u003e400-pt Breadboard\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-M Wires x20\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/type-c-usb-cable-for-raspberry-pi-4-compoden\"\u003eUSB-C Cable\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the ESP32-S3 Edge Impulse Motion Classifier Kit with ESP32 + MPU6050?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The ESP32-S3 Edge Impulse Motion Classifier Kit with ESP32 + MPU6050 includes all components needed: ESP32-S3 Dev Board, MPU6050, 0.96in OLED, 4.7kΩ Resistors, 100nF Caps and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the ESP32-S3 Edge Impulse Motion Classifier Kit with ESP32 + MPU6050?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 15-18. MPU6050 feeds Edge Impulse TFLite model on ESP32-S3 classifying walking, running and idle states. Estimated build time is 4-5 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the ESP32-S3 Edge Impulse Motion Classifier Kit with ESP32 + MPU6050 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the ESP32-S3 Edge Impulse Motion Classifier Kit with ESP32 + MPU6050 is available online at Compoden (compoden.com), India's AI-powered electronics and robotics store. Ships from Bengaluru in 1-5 days.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\n\n","brand":"Compoden","offers":[{"title":"Default Title","offer_id":53456640049517,"sku":"CDN-KIT-1327","price":2070.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/esp32-s3-edge-impulse-motion-classifier-kit-with-esp32-mpu6050-1773500.png?v=1788004026"},{"product_id":"kit-esp32-s3-wake-word-voice-control","title":"ESP32-S3 Wake Word Voice Control Kit with ESP32 + Relay","description":"\u003cp\u003eESP32-S3 Wake Word Voice Control Kit with ESP32 + Relay — an intermediate-level kit for teens.\u003c\/p\u003e\u003ch1\u003eESP32-S3 Wake Word Voice Control Kit – Build a Relay That Listens Without the Cloud\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 1-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 3-4 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15-18\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Offline voice processing \u0026amp; relay control\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eCommand a light, fan, or any appliance using your voice — with zero internet connectivity. This kit guides you through building a completely edge-based voice trigger, using the ESP32-S3's neural network accelerator to detect a custom wake word like “Hey Compoden” and instantly toggle a relay. No cloud, no Wi‑Fi, just pure on‑device intelligence that responds the moment you speak.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eA fully functional voice‑activated relay module that springs into action the moment it hears your designated wake word. The relay closes, the indicator LEDs show the state, and the entire system runs offline — perfect for privacy‑conscious home automation, assistive devices, or IoT prototypes that must work without a network.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eTrain a custom wake word using ESP‑SR and deploy it on the ESP32‑S3 neural network\u003c\/li\u003e\n  \u003cli\u003eInterface an INMP441 I2S MEMS microphone for low‑noise audio capture\u003c\/li\u003e\n  \u003cli\u003eDrive a 5V relay with flyback diode protection for safe appliance control\u003c\/li\u003e\n  \u003cli\u003eProcess real‑time audio and run inference entirely on the edge using ESP‑NN\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eESP32-S3 Dev Board\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eINMP441 I2S Mic\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e5V Relay Module\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e5mm LED\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e1N4007 Diode\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e4.7kΩ Resistors\u003c\/td\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e400-pt Breadboard\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eM-M Wires\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C Cable\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eCBSE Class 11‑12 students diving into IoT and embedded systems, B.Tech ECE\/EEE undergraduates prototyping automation projects, Smart India Hackathon participants who need a privacy‑preserving voice interface, and ATL Tinkering Lab mentors looking for a ready‑to‑assemble module that demonstrates real edge AI.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eScan the QR code on the box to chat with your AI companion, trained specifically on this wake‑word relay project. For additional help, our team is available on WhatsApp within hours.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I use the kit to switch AC appliances directly?\u003c\/summary\u003e\u003cp\u003eYes. The included 5V relay is rated for AC loads up to 250V at 10A. Always wire the 1N4007 flyback diode and follow the safety guidelines we provide for high‑voltage connections.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need to code the wake word detection from scratch?\u003c\/summary\u003e\u003cp\u003eNo. We supply ready‑to‑upload Arduino sketches and a Python script that converts your recorded wake word sample into an ESP‑SR compatible model — no low‑level DSP coding required.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eIs the wake word truly offline or does it use cloud speech-to-text?\u003c\/summary\u003e\u003cp\u003eEverything runs locally on the ESP32‑S3’s neural network accelerator. The audio from the INMP441 mic never leaves the chip, so the kit works perfectly with zero internet access.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eESP32-S3 WakeNet detects a custom wake word offline. Triggers relay on detection without cloud.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/esp32-s3-devkitc-1-n16r8-development-board\"\u003eESP32-S3 Dev Board\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/inmp441-i2s-microphone-module-high-snr-mems-mic-for-esp32\"\u003eINMP441 I2S Mic\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/5v-single-channel-relay-module-for-arduino-raspberry-pi\"\u003e5V Relay Module\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n5mm LED x3\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/diode-variety-pack-1n4007-1n4148-1n5819-zener-assortment\"\u003e1N4007 Diode\u003c\/a\u003e x3\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e4.7kΩ Resistors\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/small-breadboard-400-points-mini-solderless-board-for-electronics-prototyping\"\u003e400-pt Breadboard\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-M Wires x20\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/type-c-usb-cable-for-raspberry-pi-4-compoden\"\u003eUSB-C Cable\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the ESP32-S3 Wake Word Voice Control Kit with ESP32 + Relay?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The ESP32-S3 Wake Word Voice Control Kit with ESP32 + Relay includes all components needed: ESP32-S3 Dev Board, INMP441 I2S Mic, 5V Relay Module, 5mm LED, 1N4007 Diode and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the ESP32-S3 Wake Word Voice Control Kit with ESP32 + Relay?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 15-18. ESP32-S3 WakeNet detects a custom wake word offline. Triggers relay on detection without cloud. Estimated build time is 3-4 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the ESP32-S3 Wake Word Voice Control Kit with ESP32 + Relay online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the ESP32-S3 Wake Word Voice Control Kit with ESP32 + Relay is available online at Compoden (compoden.com), India's AI-powered electronics and robotics store. Ships from Bengaluru in 1-5 days.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\n\n","brand":"Compoden","offers":[{"title":"Default Title","offer_id":53456640082285,"sku":"CDN-KIT-1328","price":1910.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/esp32-s3-wake-word-voice-control-kit-with-esp32-relay-8566651.png?v=1788004026"},{"product_id":"kit-esp32-s3-on-device-wake-word-training","title":"ESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED","description":"\u003cp\u003eESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED — an advanced-level kit for adults.\u003c\/p\u003e\u003ch1\u003eBuild a Custom Voice-Controlled Smart Device with the ESP32-S3 On-Device Wake Word Training Kit\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 1-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Advanced\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 6-8 hours\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 18-21\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Edge Impulse model training \u0026amp; deployment\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eImagine saying a custom word like \"Compoden\" and your desk lamp turns on. This kit puts you in control of voice activation: capture audio samples, train a neural network in Edge Impulse, and deploy it to an ESP32-S3 that recognizes your wake word entirely offline—no cloud, no latency. You’ll build a functional embedded AI device that responds instantly to your voice.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou'll assemble a compact voice-activated unit that listens for a unique wake word you define. When recognized, it illuminates an LED and shows a confirmation on the OLED screen. The ESP32-S3 continuously runs a TensorFlow Lite model on-device, proving real‑time keyword spotting without any internet dependency.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eCapture and preprocess audio data using the I2S INMP441 microphone\u003c\/li\u003e\n  \u003cli\u003eDesign a neural network for keyword spotting in Edge Impulse\u003c\/li\u003e\n  \u003cli\u003eDeploy a TensorFlow Lite model to an ESP32-S3 for on-device inference\u003c\/li\u003e\n  \u003cli\u003eIntegrate audio detection with visual feedback on an OLED display and LED output\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eESP32-S3 Dev Board\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eINMP441 I2S Mic\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e0.96in OLED\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e5mm LED\u003c\/td\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e4.7kΩ Resistors\u003c\/td\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e100nF Capacitors\u003c\/td\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003ePCB Prototype Board\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e5V 2A Power Supply Unit\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eEnclosure Box\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eSoldering Iron\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eSolder Wire\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eThis kit is ideal for B.Tech ECE\/EEE students working on voice‑based IoT projects, participants in Smart India Hackathon building assistive technologies, and hobbyists exploring edge ML. It aligns with university curriculum on embedded AI and provides hands‑on experience with model training and deployment—skills highly valued in Indian engineering careers.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eScan the QR code on the box to access the AI build companion trained on this exact kit. It provides step-by-step troubleshooting, and you can also reach us via WhatsApp for direct engineer support.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need prior experience with machine learning?\u003c\/summary\u003e\u003cp\u003eNo. The kit guides you through Edge Impulse's user‑friendly interface, and our AI companion explains each concept. Basic familiarity with Arduino IDE is helpful but not required.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I train a wake word in my own language?\u003c\/summary\u003e\u003cp\u003eAbsolutely. Edge Impulse supports custom audio samples in any language. You'll record your own wake word and use the same pipeline to train and deploy it.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat if the soldering iron is defective?\u003c\/summary\u003e\u003cp\u003eAll Compoden components are tested before shipping. If you encounter a manufacturing defect, we'll replace it free within 7 days. Just contact us via the WhatsApp number included in the box.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eEdge Impulse trains a custom wake word model on captured audio samples. Deployed to S3 for offline detection.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/esp32-s3-devkitc-1-n16r8-development-board\"\u003eESP32-S3 Dev Board\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/inmp441-i2s-microphone-module-high-snr-mems-mic-for-esp32\"\u003eINMP441 I2S Mic\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/096in-oled-display-128x64-i2cspi-for-arduino-raspberry-pi\"\u003e0.96in OLED\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n5mm LED x3\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e4.7kΩ Resistors\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/capacitor-variety-pack-6-values-100nf-to-470uf-30-pieces\"\u003e100nF Caps\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/esp-wroom-32-breakout-board-pcb-55x52mm\"\u003ePCB Prototype Board\u003c\/a\u003e x2\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/5v-2a-adapter-without-cable-10w-power-supply-for-raspberry-pi-3\"\u003e5V 2A PSU\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/enclosure-box-for-diy-electronics-projects-compoden\"\u003eEnclosure Box\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/soldering-kit-25w-with-solder-wire-flux-paste-compoden\"\u003eSoldering Iron\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/soldering-kit-25w-with-solder-wire-flux-paste-compoden\"\u003eSolder Wire\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the ESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The ESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED includes all components needed: ESP32-S3 Dev Board, INMP441 I2S Mic, 0.96in OLED, 5mm LED, 4.7kΩ Resistors and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the ESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Advanced level makers, suitable for ages 18-21. Edge Impulse trains a custom wake word model on captured audio samples. Deployed to S3 for offline detection. Estimated build time is 6-8 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the ESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the ESP32-S3 On-Device Wake Word Training Kit with ESP32 + LED is available online at Compoden (compoden.com), India's AI-powered electronics and robotics store. Ships from Bengaluru in 1-5 days.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\n\n\u003cp\u003e\u003cstrong\u003eChoose your assembly option:\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoldering Kit\u003c\/strong\u003e — 25W soldering iron, 60\/40 solder wire, flux, and small perfboard for permanent assembly.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBreadboard Combo\u003c\/strong\u003e — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Compoden","offers":[{"title":"Soldering Kit","offer_id":53459837813101,"sku":"CDN-KIT-1391-SLD","price":2190.0,"currency_code":"INR","in_stock":true},{"title":"Breadboard Combo","offer_id":53459837845869,"sku":"CDN-KIT-1391-BB","price":1860.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/esp32-s3-on-device-wake-word-training-kit-with-esp32-led-8845946.png?v=1788003907"},{"product_id":"kit-sport-form-coach-pro-kit-with-esp32-plus-mpu6050","title":"Gym Equipment Vibration Classifier Kit with ESP32-S3 + MPU6050","description":"\u003cp\u003eGym Equipment Vibration Classifier Kit with ESP32-S3 + MPU6050 — a beginner-level kit for teens.\u003c\/p\u003e\u003ch1\u003eBuild an AI Vibration Classifier for Gym Equipment\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 1-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Beginner\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 3-4 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15-18\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Edge AI for Predictive Maintenance\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eEvery spin of a treadmill motor tells a story — and now you can teach an ESP32 to read it. This kit turns a standard MPU6050 accelerometer into a self-contained vibration classifier that distinguishes normal hum from the early rumble of a failing bearing. You'll mount the sensor on any gym machine, acquire live motion data, and let the on-device Edge Impulse model decide: green LED for smooth operation, red LED and an OLED warning when trouble is brewing. It's a real-world AI project that moves the smart factory concept right into your school's sports room.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou'll assemble a compact monitoring module around the ESP32-S3 Dev Board and MPU6050, wire the OLED and status LEDs, then flash a pre-trained TensorFlow Lite model that instantly classifies vibration signatures. The system powers over USB, reads acceleration every 20 ms, and updates the OLED with classification confidence. It’s a complete edge AI pipeline — from sensor to insight — that you can deploy on treadmills, exercise bikes, or even a cricket bowling machine.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eCapture high-frequency vibration data from an MPU6050 and label it for normal vs. faulty patterns\u003c\/li\u003e\n  \u003cli\u003eTrain and export a binary classifier directly in Edge Impulse without writing complex ML code\u003c\/li\u003e\n  \u003cli\u003eDeploy a TensorFlow Lite model on an ESP32-S3 and run inferences entirely on-device\u003c\/li\u003e\n  \u003cli\u003eVisualize real-time classification results on an SSD1306 OLED display alongside LED indicators\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eESP32-S3 Dev Board\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMPU6050\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e0.96in OLED SSD1306\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e5mm Red LED\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e5mm Green LED\u003c\/td\u003e\n\u003ctd\u003ex2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e4.7kΩ Resistors\u003c\/td\u003e\n\u003ctd\u003ex5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e220Ω Resistors\u003c\/td\u003e\n\u003ctd\u003ex5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e100nF Caps\u003c\/td\u003e\n\u003ctd\u003ex5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e400-pt Breadboard\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eM-M Wires\u003c\/td\u003e\n\u003ctd\u003ex20\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C Cable\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eCBSE Class 11–12 students exploring AI and IoT will find a ready-made investigatory project that aligns with the new skill subjects. B.Tech ECE and EEE undergraduates can prototype a predictive maintenance system for gym equipment or Smart India Hackathon ideas. ATL Tinkering Labs and IIT\/NIT\/VIT\/BITS clubs looking for an AI+hardware workshop module will appreciate the structured on-ramp to Edge Impulse and sensor fusion — no prior ML experience assumed.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eScan the QR code to open the AI companion, which walks through each step with diagrams and code snippets. For complex debugging, send a WhatsApp message or photo — our team responds within hours.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I retrain the model for a different machine, like a cricket bowling machine?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The Edge Impulse project is included, so you can record new vibration data from any motor, relabel it, and retrain the classifier — all through the free Edge Impulse account you create during the build.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need prior coding experience with Python or ML?\u003c\/summary\u003e\u003cp\u003eThe kit assumes basic familiarity with Arduino IDE, but the AI companion provides pre-written code and the Edge Impulse workflow is entirely visual. You'll complete the project even if you've never trained a model before.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I integrate this with Blynk or cloud dashboards?\u003c\/summary\u003e\u003cp\u003eYes. The ESP32-S3 already connects to Wi‑Fi, and you can extend the firmware to send classification results to a Blynk web dashboard or an IoT platform — the AI companion provides optional extension guides.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eSports — MPU6050 feeds a pre-trained Edge Impulse model on ESP32-S3 that classifies normal vs faulty motor vibration.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/esp32-s3-devkitc-1-n16r8-development-board\"\u003eESP32-S3 Dev Board\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/mpu6050-imu-module-6-axis-gyro-accelerometer-for-arduino\"\u003eMPU6050\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/096in-oled-display-128x64-i2cspi-for-arduino-raspberry-pi\"\u003e0.96in OLED SSD1306\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/led-variety-pack-50-pcs-3mm-5mm-mixed-colours\"\u003e5mm Red LED\u003c\/a\u003e x2\u003c\/li\u003e\n    \u003cli\u003e\n5mm Green LED x2\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e4.7kΩ Resistors\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e220Ω Resistors\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/capacitor-variety-pack-6-values-100nf-to-470uf-30-pieces\"\u003e100nF Caps\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/small-breadboard-400-points-mini-solderless-board-for-electronics-prototyping\"\u003e400-pt Breadboard\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-M Wires x20\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/type-c-usb-cable-for-raspberry-pi-4-compoden\"\u003eUSB-C Cable\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the Gym Equipment Vibration Classifier Kit with ESP32-S3 + MPU6050?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Gym Equipment Vibration Classifier Kit with ESP32-S3 + MPU6050 includes all components needed: ESP32-S3 Dev Board, MPU6050, 0.96in OLED SSD1306, 5mm Red LED, 5mm Green LED and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the Gym Equipment Vibration Classifier Kit with ESP32-S3 + MPU6050?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Beginner level makers, suitable for ages 15-18. Sports — MPU6050 feeds a pre-trained Edge Impulse model on ESP32-S3 that classifies normal vs faulty motor vibration. Estimated build time is 3-4 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Gym Equipment Vibration Classifier Kit with ESP32-S3 + MPU6050 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Gym Equipment Vibration Classifier Kit with ESP32-S3 + MPU6050 is available online at Compoden (compoden.com), India's AI-powered electronics and robotics store. Ships from Bengaluru in 1-5 days.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\n\n","brand":"Compoden","offers":[{"title":"Default Title","offer_id":53463871750509,"sku":"CDN-KIT-3303","price":2070.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/sport-form-coach-pro-kit-with-esp32-mpu6050-1351574.png?v=1788003007"},{"product_id":"ai-baby-cry-detector-kit-with-esp32-s3-and-edge-impulse","title":"AI Baby Cry Detector Kit with ESP32-S3 \u0026 Edge Impulse","description":"\u003cp\u003eAI Baby Cry Detector Kit with ESP32-S3 \u0026amp; Edge Impulse — a beginner-level kit for teens.\u003c\/p\u003e\u003ch1\u003eBuild a Smart Baby Monitor with ESP32-S3 \u0026amp; Edge Impulse Sound Classification\u003c\/h1\u003e\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 1-5 days.\u003c\/p\u003e\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Beginner\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 3-4 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15-18\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e AI sound classification\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cp\u003eInspired by the precision of wildlife research where edge AI identifies specific animal calls, this kit brings the same technology into your home. You will build a compact device that sits in the nursery, listens through a high-sensitivity I2S microphone, and runs a custom-trained neural network on the ESP32-S3 to distinguish your baby's cry from background noise. The moment a cry is detected, the unit triggers a loud buzzer, flashes two red LEDs, and wirelessly alerts a separate parent receiver - so you never miss a moment that matters.\u003c\/p\u003e\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou will assemble two functional modules: a sound-sensing transmitter that captures audio and classifies it in real time, and a battery-operable receiver that buzzes and lights up the instant a baby cry is recognized. The transmitter streams high-quality audio over I2S, runs the pre-trained Edge Impulse model directly on the ESP32-S3, and sends an alert packet via the NRF24L01 radio link. The entire project fits on a breadboard, with clear wiring and no soldering required.\u003c\/p\u003e\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eDeploy a machine learning model on an ESP32-S3 using Edge Impulse\u003c\/li\u003e\n  \u003cli\u003eInterface an INMP441 I2S MEMS microphone for high-fidelity audio capture\u003c\/li\u003e\n  \u003cli\u003eProcess real-time sound data and perform on-device inference\u003c\/li\u003e\n  \u003cli\u003eBuild a wireless alert system using NRF24L01 modules\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eESP32-S3 Dev Board\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eINMP441 I2S Mic\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eActive Buzzer\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e5mm Red LED\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eNRF24L01\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e100nF Capacitor\u003c\/td\u003e\n\u003ctd\u003e10\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e10μF Capacitor\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e10kΩ Resistor\u003c\/td\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e400-pt Breadboard\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMale-to-Male Jumper Wires\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C Cable\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eThis kit is designed for CBSE Class 11-12 students exploring AI electives, B.Tech ECE and EEE students working on embedded IoT projects, Smart India Hackathon teams prototyping healthcare monitoring solutions, and ATL tinkering labs introducing edge machine learning. Even first-time makers will complete a real-world AI device in an afternoon.\u003c\/p\u003e\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eThe included AI companion guides you step by step; you can also reach us on WhatsApp for direct help from our engineers.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWill this detect my baby's unique cry?\u003c\/summary\u003e\u003cp\u003eThe kit arrives with a pre-trained model based on a public baby cry dataset. Our AI companion will walk you through recording a few samples of your own baby's cries and retraining the model on Edge Impulse's free tier for near-perfect accuracy.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I use this for other sounds like doorbells or dog barks?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The hardware and Edge Impulse workflow are sound-agnostic. Simply collect audio samples of any sound you want to recognize and re-train the classifier - the kit hardware stays the same.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat range does the wireless alert cover?\u003c\/summary\u003e\u003cp\u003eThe NRF24L01 modules provide reliable communication up to 100 meters in open air, and typically cover a typical Indian home across floors when placed centrally.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eBaby Monitor - INMP441 mic + Edge Impulse sound classifier on ESP32-S3 detects baby cry vs background noise. Buzzes parent unit.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/esp32-s3-devkitc-1-n16r8-development-board\"\u003eESP32-S3 Dev Board\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/inmp441-i2s-microphone-module-high-snr-mems-mic-for-esp32\"\u003eINMP441 I2S Mic\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/active-buzzer-dc-3-5v-85db-sounder-module-for-arduino-raspberry-pi\"\u003eActive Buzzer\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/led-variety-pack-50-pcs-3mm-5mm-mixed-colours\"\u003e5mm Red LED\u003c\/a\u003e x2\u003c\/li\u003e\n    \u003cli\u003e\nNRF24L01 x2\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/capacitor-variety-pack-6-values-100nf-to-470uf-30-pieces\"\u003e100nF Caps\u003c\/a\u003e x10\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/capacitor-variety-pack-6-values-100nf-to-470uf-30-pieces\"\u003e10μF Caps\u003c\/a\u003e x4\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e10kΩ Resistors\u003c\/a\u003e x5\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/small-breadboard-400-points-mini-solderless-board-for-electronics-prototyping\"\u003e400-pt Breadboard\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-M Wires x20\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/type-c-usb-cable-for-raspberry-pi-4-compoden\"\u003eUSB-C Cable\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the AI Baby Cry Detector Kit with ESP32-S3 \u0026 Edge Impulse?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The AI Baby Cry Detector Kit with ESP32-S3 \u0026 Edge Impulse includes all components needed: ESP32-S3 Dev Board, INMP441 I2S Mic, Active Buzzer, 5mm Red LED, NRF24L01 and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the AI Baby Cry Detector Kit with ESP32-S3 \u0026 Edge Impulse?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Beginner level makers, suitable for ages 15-18. Baby Monitor - INMP441 mic + Edge Impulse sound classifier on ESP32-S3 detects baby cry vs background noise. Buzzes parent unit. Estimated build time is 3-4 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the AI Baby Cry Detector Kit with ESP32-S3 \u0026 Edge Impulse online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the AI Baby Cry Detector Kit with ESP32-S3 \u0026 Edge Impulse is available online at Compoden (compoden.com), India's AI-powered electronics and robotics store. Ships from Bengaluru in 1-5 days.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\n\n","brand":"Compoden","offers":[{"title":"Default Title","offer_id":53463872045421,"sku":"CDN-KIT-3307","price":1420.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/ai-baby-cry-detector-kit-with-esp32-s3-edge-impulse-8843870.png?v=1788003007"},{"product_id":"edge-ai-wake-word-lab-kit-with-esp32-s3-plus-inmp441-mic","title":"Edge AI Wake-Word Lab Kit with ESP32-S3 + INMP441 Mic","description":"\u003ch1\u003eEdge AI Wake-Word Lab Kit with ESP32-S3 + INMP441 Mic\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eTrain a small keyword-spotting model and run it on an ESP32-S3 that listens for your wake word, entirely on the board.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 3-4 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eLabs:\u003c\/strong\u003e keyword spotting (wake-word detection)\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eThis is the hardware for the free, open ML Systems labs (\u003ca href=\"https:\/\/mlsysbook.ai\/kits\"\u003emlsysbook.ai\u003c\/a\u003e). Soldr adapts the lab code to these boards' pins.\u003c\/p\u003e\n\n\u003ch2\u003eWhich labs it covers\u003c\/h2\u003e\n\u003cp\u003eKeyword spotting (wake-word detection).\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eRecording and labelling a keyword dataset from an I2S microphone\u003c\/li\u003e\n  \u003cli\u003eTurning audio into features (MFCC \/ spectrograms) a small model can use\u003c\/li\u003e\n  \u003cli\u003eTraining a keyword-spotting model and quantising it to run on a microcontroller\u003c\/li\u003e\n  \u003cli\u003eRunning inference on the ESP32-S3 and acting on the result\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eThe parts, and how they differ from the lab hardware\u003c\/h2\u003e\n\u003cp\u003eThe labs are written for the XIAO ESP32S3. These are equivalent ESP32-S3 parts: an ESP32-S3-DevKitC-1 with 16MB flash and 8MB PSRAM and an INMP441 microphone. The XIAO's microphone is PDM; the INMP441 is I2S, which is why Soldr adapts the code.\u003c\/p\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eESP32-S3-DevKitC-1 N16R8 (16MB flash, 8MB PSRAM)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eINMP441 I2S MEMS Microphone\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBreadboards, 830 + 400 points\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJumper Wires, M-M \/ M-F \/ F-F (120)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C to USB-A Cable (data)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eSoldr build credits\u003c\/h2\u003e\n\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWho makes this kit?\u003c\/summary\u003e\u003cp\u003eCompoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWill the lab code run on this kit without changes?\u003c\/summary\u003e\u003cp\u003eNot exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins and to the I2S microphone.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat do I get from Soldr with this kit?\u003c\/summary\u003e\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eTrain a small keyword-spotting model and run it on an ESP32-S3 that listens for your wake word, entirely on the board.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n\u003cli\u003e\u003ca href=\"\/products\/esp32-s3-devkitc-1-n16r8-development-board\"\u003eESP32-S3-DevKitC-1 N16R8 (16MB flash, 8MB PSRAM)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/inmp441-i2s-microphone-module-high-snr-mems-mic-for-esp32\"\u003eINMP441 I2S MEMS Microphone\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/breadboard-standard-bundle-830400-tie-points-for-prototyping\"\u003eBreadboards, 830 + 400 points\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/jumper-wire-combo-male-to-male-male-to-female-and-female-to-female\"\u003eJumper Wires, M-M \/ M-F \/ F-F (120)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/type-c-usb-cable-for-raspberry-pi-4-compoden\"\u003eUSB-C to USB-A Cable (data)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Who makes this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Compoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Will the lab code run on this kit without changes?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Not exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins and to the I2S microphone.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What do I get from Soldr with this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Your kit comes with Soldr build credits for the code and wiring, and your first build is on us.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e","brand":"Compoden","offers":[{"title":"Default Title","offer_id":67759811592557,"sku":"CDN-KIT-4365","price":1920.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/esp32-s3-devkitc-1-n16r8-development-board-1369497.png?v=1787999946"},{"product_id":"edge-ai-motion-lab-kit-with-esp32-s3-plus-mpu6050","title":"Edge AI Motion Lab Kit with ESP32-S3 + MPU6050","description":"\u003ch1\u003eEdge AI Motion Lab Kit with ESP32-S3 + MPU6050\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eCollect motion data from a 6-axis IMU, train a classifier and an anomaly detector, and run both on an ESP32-S3.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 3-4 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eLabs:\u003c\/strong\u003e motion classification and anomaly detection\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eThis is the hardware for the free, open ML Systems labs (\u003ca href=\"https:\/\/mlsysbook.ai\/kits\"\u003emlsysbook.ai\u003c\/a\u003e). Soldr adapts the lab code to these boards' pins.\u003c\/p\u003e\n\n\u003ch2\u003eWhich labs it covers\u003c\/h2\u003e\n\u003cp\u003eMotion classification and anomaly detection.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eReading an MPU6050 accelerometer and gyroscope over I2C\u003c\/li\u003e\n  \u003cli\u003eCollecting and labelling motion data for training\u003c\/li\u003e\n  \u003cli\u003eTraining a motion classifier and an anomaly detector\u003c\/li\u003e\n  \u003cli\u003eRunning both models on the ESP32-S3 in real time\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eThe parts, and how they differ from the lab hardware\u003c\/h2\u003e\n\u003cp\u003eThe labs are written for the XIAO ESP32S3. These are equivalent ESP32-S3 parts: an ESP32-S3-DevKitC-1 with 16MB flash and 8MB PSRAM and an MPU6050 IMU on I2C, so Soldr adapts the lab code to this board's pins and sensor.\u003c\/p\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eESP32-S3-DevKitC-1 N16R8 (16MB flash, 8MB PSRAM)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMPU6050 6-Axis IMU (GY-521)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBreadboards, 830 + 400 points\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJumper Wires, M-M \/ M-F \/ F-F (120)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C to USB-A Cable (data)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eSoldr build credits\u003c\/h2\u003e\n\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWho makes this kit?\u003c\/summary\u003e\u003cp\u003eCompoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWill the lab code run on this kit without changes?\u003c\/summary\u003e\u003cp\u003eNot exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat do I get from Soldr with this kit?\u003c\/summary\u003e\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eCollect motion data from a 6-axis IMU, train a classifier and an anomaly detector, and run both on an ESP32-S3.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n\u003cli\u003e\u003ca href=\"\/products\/esp32-s3-devkitc-1-n16r8-development-board\"\u003eESP32-S3-DevKitC-1 N16R8 (16MB flash, 8MB PSRAM)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/mpu6050-imu-module-6-axis-gyro-accelerometer-for-arduino\"\u003eMPU6050 6-Axis IMU (GY-521)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/breadboard-standard-bundle-830400-tie-points-for-prototyping\"\u003eBreadboards, 830 + 400 points\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/jumper-wire-combo-male-to-male-male-to-female-and-female-to-female\"\u003eJumper Wires, M-M \/ M-F \/ F-F (120)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/type-c-usb-cable-for-raspberry-pi-4-compoden\"\u003eUSB-C to USB-A Cable (data)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Who makes this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Compoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Will the lab code run on this kit without changes?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Not exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What do I get from Soldr with this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Your kit comes with Soldr build credits for the code and wiring, and your first build is on us.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e","brand":"Compoden","offers":[{"title":"Default Title","offer_id":67759813493101,"sku":"CDN-KIT-4366","price":1830.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/esp32-s3-devkitc-1-n16r8-development-board-1369497.png?v=1787999946"},{"product_id":"edge-ai-vision-lab-kit-with-esp32-cam-plus-ov2640-camera","title":"Edge AI Vision Lab Kit with ESP32-CAM + OV2640 Camera","description":"\u003ch1\u003eEdge AI Vision Lab Kit with ESP32-CAM + OV2640 Camera\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eCapture your own image dataset, train small vision models and run image classification and object detection on an ESP32 camera board.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 3-4 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eLabs:\u003c\/strong\u003e image classification and object detection\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eThis is the hardware for the free, open ML Systems labs (\u003ca href=\"https:\/\/mlsysbook.ai\/kits\"\u003emlsysbook.ai\u003c\/a\u003e). Soldr adapts the lab code to these boards' pins.\u003c\/p\u003e\n\n\u003ch2\u003eWhich labs it covers\u003c\/h2\u003e\n\u003cp\u003eImage classification and object detection.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eCapturing and labelling images with an OV2640 camera\u003c\/li\u003e\n  \u003cli\u003eTraining a small image classifier and a lightweight object detector\u003c\/li\u003e\n  \u003cli\u003eFitting a vision model into a microcontroller's memory\u003c\/li\u003e\n  \u003cli\u003eRunning inference on the camera board and reading the results\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eThe parts, and how they differ from the lab hardware\u003c\/h2\u003e\n\u003cp\u003eThe vision labs are written for the XIAO ESP32S3 Sense. This kit is not an ESP32-S3: it uses an ESP32-CAM (an ESP32 board with an OV2640 camera and a microSD slot) on a USB programmer base. It runs smaller image models than an ESP32-S3, and Soldr adapts the lab code to this board.\u003c\/p\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eESP32-CAM Board with OV2640 Camera\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eESP32-CAM-MB USB Programmer Base\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicroSD Card 32GB Class 10\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicro USB Cable (data)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eSoldr build credits\u003c\/h2\u003e\n\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWho makes this kit?\u003c\/summary\u003e\u003cp\u003eCompoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWill the lab code run on this kit without changes?\u003c\/summary\u003e\u003cp\u003eNot exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat do I get from Soldr with this kit?\u003c\/summary\u003e\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eCapture your own image dataset, train small vision models and run image classification and object detection on an ESP32 camera board.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n\u003cli\u003e\u003ca href=\"\/products\/esp32-cam-board-ov2640-ov3660-wifi-bluetooth-module\"\u003eESP32-CAM Board with OV2640 Camera\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/esp32-cam-mb-programmer-module-with-micro-usb-ch340g-plug-play\"\u003eESP32-CAM-MB USB Programmer Base\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/microsd-card-32gb-class-10-uhs-i-memory-card\"\u003eMicroSD Card 32GB Class 10\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/microusb-cable-1m-charging-data-cord-for-arduino-android\"\u003eMicro USB Cable (data)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Who makes this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Compoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Will the lab code run on this kit without changes?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Not exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What do I get from Soldr with this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Your kit comes with Soldr build credits for the code and wiring, and your first build is on us.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e","brand":"Compoden","offers":[{"title":"Default Title","offer_id":67759813689709,"sku":"CDN-KIT-4367","price":1520.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/esp32-cam-board-ov2640-ov3660-wifi-bluetooth-module-9069869.jpg?v=1790780406"},{"product_id":"raspberry-pi-5-edge-llm-lab-kit","title":"Raspberry Pi 5 Edge LLM Lab Kit","description":"\u003ch1\u003eRaspberry Pi 5 Edge LLM Lab Kit\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eRun small language models and vision-language models locally on a Raspberry Pi 5 8GB, with a camera for the vision labs.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 4-6 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eLabs:\u003c\/strong\u003e small language models, vision-language models, and image classification and object detection\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eThis is the hardware for the free, open ML Systems labs (\u003ca href=\"https:\/\/mlsysbook.ai\/kits\"\u003emlsysbook.ai\u003c\/a\u003e). Soldr adapts the lab code to these boards' pins.\u003c\/p\u003e\n\n\u003ch2\u003eWhich labs it covers\u003c\/h2\u003e\n\u003cp\u003eSmall language models, vision-language models, and image classification and object detection.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eSetting up Raspberry Pi OS on a Pi 5 with active cooling\u003c\/li\u003e\n  \u003cli\u003eRunning small, quantised language models locally with no cloud\u003c\/li\u003e\n  \u003cli\u003ePointing a vision-language model at camera frames\u003c\/li\u003e\n  \u003cli\u003eImage classification and object detection on the Pi\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eThe parts, and how they differ from the lab hardware\u003c\/h2\u003e\n\u003cp\u003eThe ML Systems labs include Raspberry Pi labs. This kit is a Raspberry Pi 5 8GB with the Active Cooler, the 27W USB-C supply, a 32GB microSD (flash Raspberry Pi OS to it with Raspberry Pi Imager) and a Camera Module 3 Wide. Soldr adapts the lab code to this setup.\u003c\/p\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 Model B 8GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 Active Cooler\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 27W USB-C Power Supply\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicroSD Card 32GB Class 10\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi Camera Module 3 Wide (12MP, autofocus)\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eSoldr build credits\u003c\/h2\u003e\n\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWho makes this kit?\u003c\/summary\u003e\u003cp\u003eCompoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWill the lab code run on this kit without changes?\u003c\/summary\u003e\u003cp\u003eNot exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat do I get from Soldr with this kit?\u003c\/summary\u003e\u003cp\u003eYour kit comes with Soldr build credits for the code and wiring, and your first build is on us.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eRun small language models and vision-language models locally on a Raspberry Pi 5 8GB, with a camera for the vision labs.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n\u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-5-model-b-8gb-high-performance-single-board-computer\"\u003eRaspberry Pi 5 Model B 8GB\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/official-raspberry-pi-5-active-cooler-fan-with-heatsink\"\u003eRaspberry Pi 5 Active Cooler\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/official-27w-usb-c-pd-power-supply-for-raspberry-pi-5-black-0108\"\u003eRaspberry Pi 27W USB-C Power Supply\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/microsd-card-32gb-class-10-uhs-i-memory-card\"\u003eMicroSD Card 32GB Class 10\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-camera-module-3-wide-12mp-autofocus-compoden\"\u003eRaspberry Pi Camera Module 3 Wide (12MP, autofocus)\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Who makes this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Compoden. It's our own kit of equivalent parts. The labs are free and open, this is hardware you can run them on, and Soldr adapts the lab code to these parts.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Will the lab code run on this kit without changes?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Not exactly as written, because the labs target a different board. Soldr adapts the lab code to these boards' pins.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What do I get from Soldr with this kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Your kit comes with Soldr build credits for the code and wiring, and your first build is on us.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e","brand":"Compoden","offers":[{"title":"Default Title","offer_id":67763507954029,"sku":"CDN-KIT-4369","price":31650.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/raspberry-pi-5-model-b-8gb-high-performance-single-board-computer-1675850.jpg?v=1790779506"}],"url":"https:\/\/compoden.com\/collections\/edge-ai-lab-kits.oembed","provider":"Compoden","version":"1.0","type":"link"}