AI Dietician

Django, Langchain, AWS, MySQL, RAG

Overview

AI Dietician is a Generative AI-based nutrition and wellness platform designed to offer personalized meal tracking, packaged food analysis, and customized diet planning. The project leverages advanced algorithms to provide tailored nutrition advice and recommendations.

Features

• Personalized Meal Tracking: Track your meals and receive personalized insights.
• Packaged Food Analysis: Analyze the nutritional content of packaged foods.
• Customized Diet Planning: Get diet plans tailored to your specific needs.

Technologies Used

• Backend: Django
• Database: MySQL
• AI and Machine Learning: Langchain, Google Gemini APIs, OllamaEmbeddings
• Deployment: AWS EC2 instance

Live Demo

Check out the live website: AI Dietician

Installation

1. Clone the repository:

   git clone https://github.com/Piyush-sri11/AI-dietitian-Django.git
   cd AI-dietitian-Django

2. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

4. Apply the migrations:

   python manage.py migrate

5. Run the development server:

   python manage.py runserver

Usage

1. Open your web browser and go to http://127.0.0.1:8000/.
2. Explore the features of the AI Dietician platform:
   • Track your meals
   • Analyze packaged foods
   • Get customized diet plans

Contributing

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/your-feature-name

3. Make your changes and commit them:

   git commit -m 'Add some feature'

4. Push to the branch:

   git push origin feature/your-feature-name

5. Open a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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