Early Identification of Learning Disabilities Using AI and IoT
Major project pairing ESP32 sensor hardware with a Python backend and Firebase, streaming real-time physiological and behavioural data for AI-based learning disability detection.
Overview
Developed the Python backend for processing real-time physiological and behavioral sensor data.
Integrated ESP32 with MPU6050 and MAX30100 sensors using I2C communication.
Built a real-time data pipeline to transmit sensor data to Firebase Realtime Database.
Worked with Git and GitHub for source-code management and collaborative development.
Collaborated with a four-member team on system integration, debugging, testing, and deployment.