Inspiration: AI reduces the cost of personalization making habit formation more easily attainable.
What it does: Based on the daily data input, we help you determine a comfortable range for calories or sleep durations.
How we built it: We used FastAPI for framework, Uvicorn as server, Pydantic for data validation, SQLite for local Database access, Sciklit-learn for training model and Joblib for model storage in the backend. For the front end we used React.js for framework, Axios for data transfers, and usestate for input storage.
Challenges we ran into: N/A
Accomplishments that we're proud of: We were able to collaborate and generate this project despite being total strangers a day ago.
What we learned
What's next for Vida - Health is Wealth: building better UI, increase the data input and gather and analyse more data.
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