AI Smart Chemistry Lab based on ESP32-S3

Client

An educational science kit company creating a portable digital chemistry lab for high school and university students.

Challenge

Integrating multiple chemical sensors (pH, ORP, conductivity, temperature) into a single handheld device that can classify unknown solutions and detect hazardous reactions in real-time.

Product Concept & Architecture

The ESP32-S3 reads sensor data from a glass-body pH probe, ORP electrode, conductivity cell, and PT100 temperature probe via a 24-bit ADS131M04 ADC.

Engineering Solution

A TinyML random forest classifier processes the multi-sensor signature to identify common chemicals with 96% accuracy. During titration experiments, the system detects the equivalence point in real-time from the pH/ORP slope change. Safety monitoring runs on the second core.

Result

96% chemical identification accuracy. ±0.02 pH accuracy. Used in 50+ universities.