Calorie Counter 🍽️🔢

Calorie Counter is an innovative AI-powered application that analyzes food images to provide detailed nutritional insights. Using advanced image recognition and Google's Generative AI, it offers users a quick and easy way to understand the caloric content and health impacts of their meals.

Overview

Calorie Counter is designed for health-conscious individuals, dietitians, and anyone interested in understanding their food better. By simply uploading a photo of their meal, users receive comprehensive information about calories, ingredients, and potential health effects, making informed dietary choices easier than ever.

Features

• 📸 Image Upload: Easily upload food photos for instant analysis.
• 🤖 AI-Powered Recognition: Utilizes Google's Generative AI for accurate food identification.
• 📊 Detailed Calorie Breakdown: Get specific calorie information for each food item.
• 🥗 Health Insights: Learn about healthy and potentially harmful ingredients in your meal.
• 💡 Dietary Context: Understand how your meal fits into your daily calorie needs.
• 📱 User-Friendly Interface: Built with Streamlit for a smooth, interactive experience.

Setup Instructions

Prerequisites

• Python 3.7 or higher
• pip (Python package manager)
• Google Generative AI API key

Installation

1. Clone the repository:

   git clone https://github.com/SauravSrivastav/caloriecounter-st.git
   cd caloriecounter-st

2. Create a virtual environment (optional but recommended):

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

3. Install dependencies:

   pip install -r requirements.txt

4. Create a .env file in the root directory and add your Google Generative AI API key:

   GOOGLE_API_KEY=your_api_key_here
   

5. Ensure you have a requirements.txt file in your project directory with the following contents:

   streamlit
   pillow
   google-generativeai
   python-dotenv
   

6. Run the application:

   streamlit run app.py

7. Access the app:

   • Open your web browser and go to http://localhost:8501

Usage

1. Upload an image of your food using the file uploader.
2. Click the "Tell me about this food" button.
3. View the detailed analysis, including:
   • Dish identification
   • Calorie breakdown per food item
   • Healthy and potentially harmful ingredients
   • Total calorie estimate and daily intake percentage

Screenshots

[Add a screenshot of your application here]

Contributing

Contributions are welcome! If you'd like to improve Calorie Counter, please fork the repository and submit a pull request. For major changes, please open an issue first to discuss what you would like to change.

License

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

Contact

For any questions or suggestions, please feel free to reach out:

• Email: [email protected]
• LinkedIn: in/sauravsrivastav2205
• GitHub: https://github.com/SauravSrivastav