👨‍⚕️ AI Nutritionist App

An AI-powered Health Management application built with Streamlit and Google Gemini API that helps users analyze food images to estimate calories and classify food items.

🚀 Features

• 📷 Upload food images (JPG, JPEG, PNG)
• 🤖 Analyze food items using Google Gemini multimodal model
• 🔢 Estimate total calories with detailed breakdown
• 🍎 Classify food into categories (fruits, vegetables, protein, grains, desserts, etc.)
• 💡 Option to provide additional context (e.g., portion size)

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🛠️ Tech Stack

• Python 3.10+
• Streamlit – UI framework
• Google Gemini API – AI model for image + text understanding
• Pillow (PIL) – Image processing
• python-dotenv – Manage API keys securely

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📂 Project Structure

AI_Nutritionist_App/
    │── app.py # Main Streamlit app
    │── .env # Environment variables
    |    (contains GOOGLE_API_KEY)
    │── requirements.txt # Python dependencies
    │── README.md # Project documentation

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⚙️ Installation & Setup

1. Clone the repository

   git clone https://github.com/22MH1A42G1/AI_Nutritionist_App.git
   cd AI_Nutritionist_App

2. Create a virtual environment (optional but recommended)

   python -m venv venv
   source venv/bin/activate   # For Linux/Mac
   source venv\Scripts\activate # For Windows

3. Install dependencies

   pip install -r requirements.txt

4. Set up environment variables

• Create a .env file in the root folder and add your Google Gemini API key:

  GOOGLE_API_KEY=your_api_key_here

5. Run the app

   python -m streamlit run app.py

📌 Usage

• Open the app in your browser (default: http://localhost:8501).

• Choose a task:

  1. Calorie Estimation → Get calorie breakdown of detected food items.

  2. Food Classification → Classify food into categories.

• Upload a food image.

• (Optional) Provide additional notes (e.g., portion size).

• Click Analyze → Get AI-powered insights.

🧩 Example Output

Input: Uploaded image of rice, chicken curry, and salad.

Output:

1. Rice (1 cup) - 200 calories
2. Chicken Curry - 350 calories
3. Salad - 80 calories

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Total: 630 calories

✅ To-Do / Future Enhancements

• 📊 Daily calorie tracker (using st.session_state)

• 🥗 Personalized health recommendations

• 📅 Meal logging & nutrition history

• ⚡ Deploy to Streamlit Cloud / Hugging Face Spaces

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👨‍💻 Author

Developed by Indana Aditya

🌐 LinkedIn

💻 GitHub