Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Healthcare app
In today’s healthcare environment, one of the core challenges is the fragmentation of health data. Individuals often have their medical information scattered across multiple platforms—electronic health records (EHRs), lab test portals, wearable devices, and more. This fragmentation makes it difficult for patients to gain a holistic view of their health or use the data effectively to inform their lifestyle choices. Furthermore, interpreting health metrics can be intimidating without clear, user-friendly explanations. As a result, people either underutilize the data they already have or feel overwhelmed trying to piece everything together on their own. Our application tackles this problem by integrating, rather than recreating, existing tools and data sources. Instead of building a new ecosystem from scratch, we work with established databases, wearables, and platforms to gather essential health metrics in one place. Once the data is centralized, our intuitive dashboard, AI-driven chatbot, and analytics features work together to make it both understandable and actionable. Users can see important metrics at a glance, ask real-time health questions through the chatbot, and review future trend forecasts derived from their historical data. By bridging the gap between complex health information and the individuals who need it, our app empowers users to take proactive steps toward better health while maintaining the familiarity and reliability of their existing healthcare services. Growing up in non english speaking households many times throughout some of our lives would we have to play doctor to our parents due to them not understanding their diagnosis, health terminology, or even medication. This app challenges all aspects using its AI chat bot and everyday tracking user’s can now not only access their data but also figure out what it means and understand it.
Built With
- fastapi
- google-cloud
- pandas
- python
- react-native
- sklearn
- typescript
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