ESP32 AI/ML Projects with Sensors | Data Pipeline + Feature Engineering Explained #ESP32

Anyone can connect a sensor… but turning that data into intelligence—that’s real engineering. In this video, we explore 5 powerful ESP32 + AI/ML projects using real sensor data (NO camera-based projects). Each idea includes: ✔ Sensors used ✔ Data pipeline (collection → transmission → cloud → ML) ✔ Feature engineering techniques ✔ Machine learning models 🔧 Projects Covered: 1. Hydroponic Anomaly Detection (pH, TDS, Temp + Isolation Forest) 2. Predictive Maintenance (Vibration + LSTM) 3. Air Quality Intelligence (MQ sensors + SVM/Decision Tree) 4. Smart Parking Predictor (Ultrasonic + ML) 5. Motor Health Digital Twin (IIoT + AI) 📡 Standard IoT Pipeline: Sensors → ESP32 → MQTT/HTTP → Cloud → ML Model → Decision → Actuator 🎯 Perfect for: Engineering students Final year projects IIoT & Edge AI learners 📌 Tools Used: ESP32, MQTT, Python, TinyML, Cloud Platforms 👍 Like | Share | Subscribe for more AI + IoT projects! #ESP32 #AIProjects #MachineLearning #IoT #EdgeAI #IIoT #EngineeringProjects