Smart Greenhouse Ventilation & Hotspot Detection System

Step into the future of smart farming with this project that combines a thermal camera + IoT + AI-driven automation. This innovative system continuously scans greenhouse environments to detect hotspots, uneven temperature distribution, and potential plant stress zones that are invisible to the naked eye.

Once a hotspot is detected, the system automatically activates fans, foggers, or vents using IoT-controlled solid-state relays, ensuring plants always grow in perfect microclimate conditions.

Students will not only learn to integrate thermal imaging with ESP32/Raspberry Pi, but also understand real-time automation, edge ML, and precision agriculture concepts. The data is streamed to a companion mobile app (Android/iOS) where farmers can view:
📊 Live temperature maps
⚠️ Hotspot alerts
🌬️ Ventilation/fogger activity logs
📈 Climate trends for improved yield planning

This project is a resume booster — showcasing skills in IoT, AI, automation, and sustainable agri-tech. It’s also a placement-friendly project because of its real-world impact in controlled-environment agriculture (polyhouses, greenhouses, urban farms).

Deliverables for Students:
✅ Complete Hardware & Software Setup (Thermal camera + ESP32/Relay + App)
✅ 150+ Page Report (Ready for submission)
✅ Full Source Code (IoT + App + AI scripts)
✅ Working Mobile App Dashboard (Android/iOS)
✅ Video Tutorials & Circuit Diagrams
✅ Companion Mobile App for real-time alerts & climate control