Track Blood Glucose Trends Non-Invasively with This ESP32 + LED Kit
Track Blood Glucose Trends Non-Invasively with This ESP32 + LED Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit lets you build a wearable device that uses near-infrared light to estimate blood glucose trends - without a single drop of blood. You'll condition weak PPG signals with a custom analog front-end, then let the ESP32 extract waveform features that correlate with glucose fluctuations, logging everything to a microSD and displaying real-time trends on an OLED.
What You'll Build
You'll assemble a finger-mounted sensor using 850nm LEDs and BPW34 photodiodes, amplified by LM358 op-amps and read via the MAX30102. The ESP32 processes the high-resolution PPG waveform to extract features linked to glucose shifts, time-stamped by the DS3231 RTC. All data flows to an SD card, while the 0.96in OLED shows live PPG waves and trend indicators - ideal for long-term, non-invasive monitoring research.
What You'll Learn
- Extract photoplethysmography features using near-IR LEDs and photodiodes
- Design a two-stage analog front-end with LM358 op-amps to amplify weak biosignals
- Program the ESP32 for real-time signal processing, feature extraction, and data logging
- Implement time-stamped sensor fusion with DS3231 RTC and microSD for long-term health tracking
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | x1 |
| MAX30102 | x1 |
| 850nm LED | x2 |
| BPW34 Photodiode | x2 |
| LM358 Op-Amp | x2 |
| DS3231 RTC | x1 |
| MicroSD Module | x1 |
| 0.96in OLED | x1 |
| 10k? Resistors | x10 |
| 100nF Caps | x10 |
| 3.7V LiPo 1000mAh | x1 |
| TP4056 Module | x1 |
| PCB Prototype Board | x3 |
| Enclosure Box | x1 |
| Soldering Iron | x1 |
| Solder Wire | x1 |
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
Designed for final-year B.Tech ECE/EEE students prototyping biomedical projects, researchers at IIT/NIT/VIT/BITS validating non-invasive diagnostics, and health-tech entrepreneurs building wearable proofs-of-concept for Smart India Hackathon. You should be comfortable with ESP32 programming and analog circuit assembly. Age 25 and above; prior biosensor experience is a plus.
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 launch the AI companion with step-by-step visual guidance. If you still need help, message our engineers on WhatsApp for tailored troubleshooting.
Is this a medical device for diagnosing diabetes?
No. This is a research and educational tool that demonstrates non-invasive glucose trend estimation. It is not intended for clinical diagnosis or treatment decisions.
How accurate are the glucose trend readings?
Under controlled conditions, PPG features correlate with glucose changes at a MARD of around 20-30%. Real-world accuracy varies with skin type, motion, and sensor placement. Use it for trend analysis, not for precise mg/dL readings.
Do I need prior experience with biosignal processing?
Yes, this Advanced kit assumes you have built ESP32 projects and understand basic analog electronics. Familiarity with Arduino IDE and signal filtering will help you complete the build successfully.
Near-IR LED + photodiode on finger measures photoplethysmography waveform features correlated with glucose trends.
What's in this kit
- ESP32 Dev Board
- MAX30102
- 850nm LED x2
- BPW34 Photodiode x2
- LM358 Op-Amp x2
- DS3231 RTC
- MicroSD Module
- 0.96in OLED
- 10k? Resistors x10
- 100nF Caps x10
- 3.7V LiPo 1000mAh
- TP4056 Module
- PCB Prototype Board x3
- Enclosure Box
- Soldering Iron
- Solder Wire
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.
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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