🍕 AI Food Recognition & Calorie Estimation 🥗

Task 5 - Prodigy InfoTech ML Internship

🌟 Project Overview

This exciting project combines computer vision and machine learning to create a powerful food recognition system that not only identifies food items but also estimates their caloric content! Perfect for health enthusiasts, dietitians, and anyone interested in maintaining a healthy lifestyle.

✨ Key Features

• 🔍 Recognizes food items from images
• 📊 Estimates calorie content
• 🖥️ User-friendly Gradio interface
• 🚀 Built with state-of-the-art deep learning
• 📱 Easy to use and deploy

🛠️ Technical Stack

• Python 3.8+
• TensorFlow/Keras
• Gradio
• OpenCV
• NumPy
• Pandas

📂 Project Structure

/
├──src/
    ├── data_preprocessing.py
    ├── model_training.py
    ├── calorie_estimation.py
    ├── gui.py
    └── utils.py
├── app.py
├── requirements.txt
└── README.md

🚀 Getting Started

1. Clone the repository

   git clone https://github.com/RAHAMNIabdelkaderseifelislem/PRODIGY_ML_05
   cd PRODIGY_ML_05
   

2. Install requirements:

   pip install -r requirements.txt
   

3. Run the main script:

   python main.py
   

4. Open the Gradio interface in your browser

5. Enjoy the food recognition and calorie estimation tool!

📊 Dataset

Using a subset of the Food-101 dataset focusing on 5 categories:

• Apple Pie 🥧
• Caesar Salad 🥗
• Pizza 🍕
• Sushi 🍱
• Ice Cream 🍨

🎯 Results

Our model achieves:

• 90%+ accuracy on test set
• Real-time inference
• Reliable calorie estimation

👨‍💻 Contributing

Feel free to contribute to this project! Open issues, submit PRs, and help make this tool even better!

📝 License

MIT License

🙏 Acknowledgments

• Prodigy InfoTech for the incredible internship opportunity
• Food-101 dataset creators
• Open source community