This is open-public share ideas for coding with goals to share knowledge with various ideas with contribution and shares for the whole community.
- Setting up the Database: Choose a PostgreSQL hosting solution (locally, cloud provider, etc.). Design the schema for storing food nutrition data, user profiles, and BMI records.
- Backend Development: Choose a framework. Flask or FastAPI are popular choices with Python. Implement API endpoints for CRUD operations on food items, calculating BMI, and food recommendations. Implement ML optimization and use AI for recommendations (this can be a complex step and might require further discussion).
- Frontend Development: Set up a React.js project. Create components for displaying food nutrition data, user input for BMI calculation, and displaying recommendations. Integrate with the backend using HTTP requests.
- Integration with a Language Model or Chatbot: This can be achieved using a service like OpenAI, or you can set up a model like ChatGPT yourself. Implement an endpoint in your backend to handle chatbot interactions. Integrate this endpoint in your React.js frontend.
- Deployment: Deploy the PostgreSQL database. Deploy the backend (consider solutions like Heroku, AWS, Google Cloud, etc.). Deploy the frontend (Netlify, Vercel, etc.).