IoT Smart Irrigation System with AI Integration

I designed and implemented a complete smart irrigation system using ESP32 and sensors such as DHT11, BH1750, and a soil moisture sensor. I built a mobile application on App Inventor connected to Firebase for real-time monitoring and control. To enhance efficiency, I integrated AI models (LSTM for soil moisture prediction, Autoencoder for fault detection, and Decision Tree for automation). This project demonstrates my ability to combine IoT, embedded systems, and AI to create sustainable agricultural solutions.