Smart Food Classifier

1. Train a model using teachablemachine.withgoogle.com
2. We had trained with images of Vegetables, Fruits, Snacks and Drinks
3. Train the Model
4. Download the Model
5. The downloaded model is placed in static/my_model directory
6. Install python on your machine
7. Run command to enable virtual environment

python -m venv venv

8. If you are using windows, run this command to activate virtual environment

source ./venv/Scripts/activate

9. If using ubuntu or mac, run this command to activate virtual environment

./venv/bin/activate

10. Install requirements

pip install -r requirements.txt

11. Create Gemini API Key from Google AI Studio
12. Create a .env file and add this:

GEMINI_API_KEY=your_api_key_here

13. Run the following command, to run application

python app.py

14. Added a shareable link for model:

https://teachablemachine.withgoogle.com/models/pHQ_FEGV2/