Continuous Blood Glucose Proxy Monitor Variant 5 Kit with ESP32 + LED
Build a Non-Invasive Continuous Glucose Trend Monitor with ESP32 and Custom PPG Circuit
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 guides you through building a research-grade prototype that captures photoplethysmography (PPG) signals using near-IR LEDs and photodiodes, then processes those waveforms on an ESP32 to estimate glucose-level trends. It’s the exact setup used in modern non-invasive biosensing studies—perfect for health tech researchers, biomedical engineering students, and anyone prototyping a wearable proxy for glucose monitoring without drawing blood.
What You'll Build
You’ll assemble a finger‑clasp or wrist‑worn optical sensor front‑end (850nm LED + BPW34 photodiode) with precision LM358 transimpedance amplifiers. The ESP32 acquires the conditioned signal alongside data from the MAX30102 module, timestamps every reading via the DS3231 RTC, logs raw waveform files to microSD, and shows real‑time trends on the 0.96‑inch OLED. When calibrated against individual meal patterns, the waveform features you extract can reveal glucose‑related vascular changes.
What You'll Learn
- Designing transimpedance amplifiers with LM358 to convert nano‑amp photocurrents into clean voltage signals
- Extracting AC and DC components from PPG waveforms and isolating pulse transit time features
- Interfacing multiple I2C sensors (MAX30102, OLED, RTC) on a single bus and managing ESP32 timing
- Implementing data‑logging firmware that stores timestamped high‑resolution waveforms on microSD for off‑device analysis
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| MAX30102 | 1 |
| 850nm LED | 2 |
| BPW34 Photodiode | 2 |
| LM358 Op-Amp | 2 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| 0.96in OLED | 1 |
| 10kΩ Resistors | 10 |
| 100nF Caps | 10 |
| 3.7V LiPo 1000mAh | 1 |
| TP4056 Module | 1 |
| PCB Prototype Board | 3 |
| 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 advanced kit fits B.Tech and M.Tech students from ECE, Biomedical Engineering, or Health Informatics at IITs, NITs, VIT, BITS Pilani, and similar institutions who are developing non‑invasive biosensors for academic projects or Smart India Hackathon prototypes. It’s equally valuable for health‑tech startup founders building a proof‑of‑concept diabetes management device and for experienced makers eager to explore medical‑grade analog front‑end design.
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?
Our AI companion trained on this exact kit provides step-by-step debugging; you can also reach our team over WhatsApp for personalized guidance.
Does this kit actually measure blood glucose levels?
No — it’s a proxy monitor that captures PPG waveforms. Research shows that features like pulse amplitude and transit time correlate with glucose trends, but it’s not a medical device. Use it for learning, research, and prototyping only.
Can I use this kit to track glucose trends for personal health?
Yes, you can log your own PPG data and observe patterns after meals or exercise. However, it is not calibrated for medical diagnosis; always rely on approved glucometers for clinical decisions.
Does the kit include the machine learning model for glucose correlation?
The hardware and firmware focus on robust signal acquisition. You’ll implement your own feature extraction and correlation algorithms, which is the core learning objective of this advanced project.
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
- 10kΩ 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