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EdgeAI Acoustic Event Detection

This project is an ESP32-based embedded AI system that detects acoustic events like claps, knocks, and alarms in real time.

🎯 Features

• Audio capture using INMP441 MEMS microphone
• MFCC feature extraction using Edge Impulse
• TinyML model inference on ESP32
• Output trigger via LED/buzzer

💡 Hardware Required

• ESP32 DevKit
• INMP441 Microphone
• LED / Buzzer (optional)
• Breadboard + jumper wires

🛠️ Setup Instructions

1. Train your model on Edge Impulse
2. Export model as C++ library and place it inside model/
3. Flash main.ino to your ESP32 using Arduino IDE
4. Observe real-time detection in Serial Monitor

🔧 Optional Add-ons

• Relay control for appliances
• BLE alerts to mobile devices
• Solar power module for IoT deployment

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EdgeAI-Acoustic-Event-Detection

EdgeAI-powered embedded system using ESP32 and Edge Impulse to detect real-time acoustic events like claps, knocks, and alarms. 24ac578f60e7321aff60b910ea358334eaf3a4ac