Overview
FREEZE AI is designed to revolutionize cold storage management by using artificial intelligence to monitor temperature patterns, detect anomalies, and predict spoilage timelines. [Image of smart refrigerator IoT sensor architecture diagram]
It helps reduce food waste, optimize energy usage, and ensure safety in refrigeration systems across homes, restaurants, and supply chains.
Key Features
- Real-time temperature and humidity tracking via IoT sensors
- Predictive spoilage detection using AI models trained on fruit decay imagery
- Voice and visual alerts for maintenance (e.g., "Door left open" or "Filter change needed")
- Analytics dashboard for inventory and shelf-life insights
- Mobile notifications and remote monitoring
Technology Stack
Frameworks & Libraries: Flask, TensorFlow, PyTorch, Pandas, NumPy
Hardware Integration: Raspberry Pi / ESP32 for sensor data ingestion
Deployment: Vercel