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  made with streamlit

Inspiration

Wanted to make eating healthy and staying active easier without having to juggle five different apps. Healthmaxxing came from the idea of using AI to automate smart lifestyle choices.

What it does

Healthmaxxing connects nutrition data, restaurants, your calendar, and weather to help you plan meals and workouts that fit your day and goals.

Tools

I used FastAPI for the backend, Streamlit for the interface, and hooked into APIs like Google Maps, OpenWeather, and USDA for live data.

Challenges we ran into

Getting multiple APIs to play nicely together was tricky, and handling real-time context updates without slowing things down took a lot of tweaking. I had to pivot ideas a few times and realized how important reliable API keys are.

Accomplishmets

I built an mpc that gives useful, personalized recommendations in real time.

What I learned

I learned how powerful context driven AI can be when it pulls data from the real world. Also, caching and error handling save your sanity.

What's next for Healthmaxxing

Maybe more supplement related data. We want to add wearable integration, social features, and smarter goal tracking so Healthmaxxing can become a full-on daily optimization tool.

Built With

• docker
• fastapi
• fooddata-api
• gemini
• google-calendar
• google-maps
• open-food-facts
• openrouter
• openweathermap
• python
• streamlit
• usda-nutrition-data