Inspiration
Fitrack was inspired by our idea to simplify fitness and workout tracking and make an app to set health goals for everyone.
What it does
It allows users to create an account and save a workout, it has an AI chatbot to give recommendations and diet help as well as articles.
How we built it
We used React for the frontend, Node.js and Express for the backend, Pinata for data storage, and integrated APIs such as the Samba Nova Cloud for Llama LLM API for our chatbot to give fitness and nutrition data.
Challenges we ran into
We faced issues with API integration, data accuracy, and designing an interactive and appealing interface.
Accomplishments that we're proud of
The UI is looking better and the chatbot works and is properly formatted. We have made substantial progress using Pinata.
What we learned
We learned how to use Pinata databases and Samba Nova APIs.
What's next for Fitrackr
We are going to improve the UI to be more user friendly, add more articles, workout list options, and better chatbot.
https://docs.google.com/presentation/d/1C5innXip6VGtI1lED9PqZyenrpmcHbzLA_ddBTKQtNQ/edit?usp=sharing
Built With
- css3
- express.js
- html5
- javascript
- llamallm
- node.js
- node.js-and-express-for-the-backend
- pinata
- pinata-for-data-storage
- react.js
- sambanovacloudapi
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