Nutrify

Live🔻

Welcome to Nutrify, a Python and Streamlit-based web application designed to analyze food pictures and provide detailed nutritional information.

Features

• Food Recognition: Upload a picture of your food, and Nutrify will identify the food items present in the image.
• Calorie Information: Get the calorie count for the identified food items.
• Health Assessment: Nutrify evaluates whether the food is healthy or not.
• Health Risks: For unhealthy foods, Nutrify lists potential health risks.
• Healthier Alternatives: Suggestions for healthier alternatives to the identified food items.

Note: Sometime it can make mistakes.

Screenshots

Installation

To install and run Nutrify locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/Gouravlohar/Nutrify.git

2. Change to the project directory:

   cd nutrify

3. Install the required packages:

   pip install -r requirements.txt

4. Run the Streamlit app:

   streamlit run app.py

   or

   python -m streamlit run app.py

Usage

1. Open your web browser and go to the local address provided by Streamlit.
2. Upload a picture of your food.
3. Wait for the analysis to complete.
4. View the results, including:
   • Identified food items.
   • Calorie count.
   • Health assessment.
   • Health risks for unhealthy foods.
   • Healthier alternatives.

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes. For major changes, open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License.

Acknowledgements

• Streamlit for providing a powerful framework to build web applications.
• PIL and other machine learning libraries used for image recognition.

Contact

For any questions or suggestions, please open an issue on the repository.

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Thank you for using Nutrify! We hope it helps you make healthier food choices.😁