https://www.youtube.com/watch?v=f5BVZJVF8mQ
FitBites is a personalized nutrition and diet web app that helps users plan meals, suggest recipes, and track their daily calorie intake. Powered by the Groq API with the Llama3-8b-8192 model, FitBites generates customized meal plans and recipe suggestions based on user preferences and tracks detailed caloric progress to support health goals.
- After successful authentication, users must complete their profile by entering details such as height, weight, activity level, and allergies (if any).
- Until the profile is completed, users can only access the landing page and cannot use other features.
- Users can generate personalized meal plans based on their health goals, preferences, and dietary needs.
- Get personalized recipe suggestions tailored to the time of day, meal type, and available ingredients.
- Recipes are customized to match user input and dietary preferences.
- Users can track their daily calorie intake and monitor their nutritional progress with a detailed breakdown.
- The calorie tracker dynamically adjusts based on meals and recipes created using the app.
- Users can view their complete profile at any time, showing all personal details.
- A history section allows users to view all previously created meals, recipes, and calorie tracking logs.
- Each history entry includes full details, from user input to the response generated by the Groq-powered Llama3-8b-8192 model.
- Next.js: A powerful React-based framework for building server-rendered web applications with ease.
- Groq API with Llama3-8b-8192 model: The AI model responsible for generating personalized meal plans, recipe suggestions, and calorie analysis.
- FastAPI: A modern web framework used to build the API that interacts with the Groq model.
- ShadCN UI: Component library for building the user interface efficiently.
- Tailwind CSS: A utility-first CSS framework used to style the application for a clean and responsive design.
- Prisma ORM: Database ORM used to interact with the Neon PostgreSQL database seamlessly.
- Neon PostgreSQL: A cloud-based PostgreSQL database used for storing user data, meal plans, recipes, and calorie logs.
- Axios: Used in the frontend to make API requests to the FastAPI backend.
The Next.js frontend of FitBites is deployed on Vercel, while the FastAPI backend is hosted on Hugging Face Spaces for seamless integration between the frontend and backend services.
Website Link: https://fitbites-som.vercel.app/
FastAPI Backend API: https://som11-fitbitesbackendfastapi.hf.space
The creator of this application is not liable for any incorrect content generated by the Groq API and Llama3-8b-8192 model, as their operation is beyond the creator's control.