Grocery Product Identification System

An advanced image-based grocery product identification system using pre-trained TensorFlow models (ResNet50, MobileNetV2, and DenseNet169). Inspired by Amazon Go, this project combines computer vision and machine learning for automated stock monitoring and seamless payments.

🚀 Features

• End-to-End Full-Stack Solution: React frontend with FastAPI backend
• Pre-trained TensorFlow Models: ResNet50, MobileNetV2, and DenseNet169 for high-accuracy classification
• Optimized Image Processing: Combined OpenCV and PIL for efficient preprocessing
• Custom Model Selection: Multiple models for tailored predictions based on accuracy/speed needs

🌐 Demo

Click the image below to watch the live demo:

💻 Installation & Setup

1. Clone Repository

git clone https://github.com/kira-03/Grocery-Product-Identification-System.git
cd Grocery-Product-Identification-System

2. Backend Setup (FastAPI)

pip install -r requirements.txt
uvicorn app:app --reload

3. Frontend Setup (React)

cd my-classification-app
npm install
npm start

4. Access Application

Open http://localhost:3000 in your browser

🔄 Workflow

1. Select Model: Choose between ResNet50, MobileNetV2, or DenseNet169
2. Upload Image: Submit grocery product image for prediction
3. View Results: See predicted class and confidence score

🛠️ Technology Stack

Frontend

• React.js: Interactive user interface
• Tailwind CSS: Modern, responsive styling
• Framer Motion: Fluid animations

Backend

• FastAPI: High-performance framework
• TensorFlow: Machine learning models
• OpenCV & PIL: Image preprocessing

🌟 Extended Features

• Stock Monitoring & Refill: Automated inventory tracking and restocking
• Automated Payments: Seamless checkout through product recognition
• Inventory Management: Real-time stock level monitoring

🚧 Future Enhancements

• Automated inventory monitoring with reorder triggers
• Seamless checkout system implementation
• Enhanced model accuracy with advanced architectures

🤝 Contributing

I welcome contributions! Feel free to:

• Fork the repository
• Create issues
• Submit pull requests