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Neural Networks based Hand-drawn character recognition on ESP32-S3

Learn how we built a real-time touch gesture recognition system that can classify drawn characters using machine learning! This project combines hardware and AI to create an interactive drawing experience.

🔧 Hardware Used:
Waveshare ESP32-S3 1.28 Touch LCD

🧠 Machine Learning Pipeline:
Custom data collection system for touch gestures
TensorFlow CNN model trained on 5 characters (B, L, I, T, Z)
Model optimized for embedded deployment
Real-time inference on ESP32-S3

💻 Technologies Used:
TensorFlow & Keras for model training
MicroTFLite for embedded inference
Arduino IDE for ESP32 programming
Custom touch data collection pipeline

👉 Source Code & Documentation:
https://github.com/practice-together/...