| Project Domains | Project Mentors | Project Difficulty |
|---|---|---|
| ESP-IDF, Machine Learning, Embedded C, PCB Designing | Bhavesh Phundhkar, Yash Suthar, Swanand Patil | Hard |
Project Description
The FlexSonic project challenges you to build a wearable device that converts sign language and hand gestures into audible speech. This smart glove will be equipped with flex sensors to detect finger movements and an Inertial Measurement Unit (IMU) to capture wrist and hand orientation.
An ESP32 microcontroller will process this stream of sensor data in real-time. By leveraging machine learning, the system will learn to recognize specific gestures and map them to predefined words or phrases. The final output will be synthesized speech, played through a speaker, creating a seamless gesture-to-speech translation system.