The Food Spoilage Detection System is an AI-powered solution designed to analyze food quality and detect spoilage in real-time. By leveraging Machine Learning and IoT sensors, the system can accurately assess the freshness of food, reducing food waste and ensuring consumer safety.
- 🧪 Spoilage Detection – Uses AI models to analyze food quality based on color, texture, and odor data.
- 📊 Quality Analysis Dashboard – Provides real-time reports on food conditions.
- 🌡️ Sensor Integration – Works with IoT sensors to track temperature, humidity, and gas emissions.
- 📷 Image-Based Detection – Uses computer vision to detect spoilage from food images.
- 🔔 Alerts & Notifications – Sends warnings when food is at risk of spoilage.
- 📦 Smart Inventory Management – Helps businesses manage stock based on food freshness.
- Frontend: React.js / Next.js (for dashboard UI)
- Backend: Python (Flask / FastAPI)
- Database: PostgreSQL / MongoDB
- Machine Learning: TensorFlow / PyTorch (for AI-based spoilage detection)
- IoT Sensors: MQ Gas Sensors, Temperature & Humidity Sensors
- Cloud Storage: AWS S3 / Firebase
- Notification System: Twilio / Firebase Cloud Messaging
- Clone the repository:
git clone https://github.com/yourusername/food-spoilage-detection.git cd food-spoilage-detection - Install dependencies:
pip install -r requirements.txt # For Python backend npm install # For frontend
- Run the backend server:
python app.py
- Start the frontend:
npm run dev
- Data Collection: IoT sensors and cameras capture food condition data.
- Processing & Analysis: AI models analyze images, gas levels, and temperature to detect spoilage.
- Alert System: Users receive real-time notifications if food quality deteriorates.
- Dashboard Monitoring: Businesses can track food freshness and optimize inventory management.
✅ Reduces food waste by detecting spoilage early. ✅ Ensures food safety for consumers. ✅ Optimizes inventory management for businesses. ✅ Supports sustainability by minimizing food wastage.
Contributions are welcome! Feel free to fork, open issues, or submit pull requests to improve the project.
This project is licensed under the MIT License.
For inquiries or collaboration, reach out via rv1870713@gmail.com or visit the repository at https://github.com/Vimalraj-R/Food-Spoilage/new/main?filename=README.md.