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Predictive Anomaly Visualiser Kit with ESP32 + DHT22
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Predictive Anomaly Visualiser Kit with ESP32 + DHT22

SKU: CDN-KIT-2076-SLD Brand: Compoden Category: Electronics > Data & Visualization > Project Kits
Rs. 3,550.00
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Predictive Anomaly Visualiser Kit with ESP32 + DHT22 — Real-Time Anomaly Detection with LSTM Inference

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Difficulty: Advanced Build Time: 6-8 hrs Age: 18-21 Skill: Edge Machine Learning & Time-Series Forecasting

This kit hands you the blueprint to build a standalone anomaly detection station that runs a lightweight LSTM neural network directly on an ESP32. Two DHT22 sensors feed temperature and humidity data into a rolling window predictor, which forecasts the next reading. When the actual value deviates significantly, the TFT screen flashes an anomaly alert, making it ideal for predictive maintenance proofs-of-concept or environmental monitoring prototypes.

What You'll Build

You’ll produce a self-contained anomaly visualiser that logs timestamped sensor data to a microSD card, runs edge inference to predict upcoming readings, and displays both predicted and actual values in real time. Anomalies are highlighted immediately, giving you a functional tool to demonstrate predictive analytics in action. The enclosure and pre-soldered prototyping boards turn it into a durable project you can showcase.

What You'll Learn

  • Deploy and run an LSTM model on an ESP32 for real-time time-series forecasting
  • Capture and timestamp multi-sensor data using the DS3231 RTC and DHT22
  • Render dynamic charts and anomaly flags on a TFT display with the ST7735
  • Optimise edge inference with fixed-point arithmetic and model quantisation

Kit Contents

Component Quantity
ESP32 Dev Board 1
DHT22 2
DS3231 RTC 1
MicroSD Module 1
1.8in TFT ST7735 1
4.7kΩ Resistors 5
100nF Caps 5
PCB Prototype Board 2
5V 2A PSU 1
Enclosure Box 1
Soldering Iron 1
Solder Wire 1

Why Buy This Kit Instead of Sourcing Parts Separately

Factor Sourcing Separately Compoden Kit
Compatibility checks You verify every part Pre-tested as a system
Build support Forums and scattered tutorials AI companion trained on this exact project
Time to first working build Days of debugging Hours, with step-by-step guidance
Shipping coordination Multiple sellers, multiple delays One shipment from Bengaluru in 3-5 days

Who This Kit Is For

This kit targets advanced hobbyists and engineering students who want hands-on experience with edge AI and time-series anomaly detection. It is particularly relevant for B.Tech ECE/EEE students working on IoT-based predictive maintenance for Smart India Hackathon projects, final-year capstones, or research at IITs, NITs, and VIT. Makers in ATL Tinkering Labs with prior microcontroller experience will also find it a compelling challenge.

Built and Backed by Compoden

Every 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.

What if I get stuck during the build?

Scan the QR code to access the AI companion, which walks you through every step. You can also reach our WhatsApp support for direct help.

Does this kit require prior machine learning experience?

Basic familiarity with Python and neural networks is helpful, but the AI companion includes a Jupyter notebook that generates the LSTM model for you. You'll understand how the model works without needing to code from scratch.

Can I use the kit without internet access?

Yes, once the model is loaded onto the ESP32, the entire anomaly detection runs offline. Data logs are stored locally on the microSD card.

How accurate is the anomaly detection?

The model is trained on typical indoor environmental patterns; it flags deviations beyond a configurable threshold. You can retrain it with your own data using the provided notebook for domain-specific accuracy.

LSTM rolling window on ESP32 predicts next value. TFT shows predicted vs actual with anomaly flags.

What's in this kit

Choose your assembly option:

  • Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
  • Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.

Shipping Information

  • Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
  • COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
  • Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location

Returns & Warranty

  • 7-Day Return: Manufacturing defects only (approval required)
  • Warranty: 7 days from delivery
  • Non-Returnable: Batteries, consumables, cut wires, clearance items

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