HealthHub

We were inspired to build HealthHub because we saw a real gap in how people in rural areas and small countries access healthcare. In many communities, internet access is unreliable or completely absent which means people can’t benefit from modern digital health tools. We wanted to change that by creating an offline-first healthcare prediction app that works without Wi-Fi and still empowers people to make informed decisions about their health.

We built the app with an offline-first architecture: all user data is stored locally on the device, and when internet access is available, it automatically syncs to a secure cloud database. We connected it to a healthcare agent powered by AI, so users can get personalized health insights and early warnings like when it may be time to visit a doctor even if they’re temporarily offline.

Along the way, we learned a lot about progressive web apps, service workers, IndexedDB, and syncing data between offline and online environments. One of our biggest challenges was handling syncing issues making sure queued data doesn’t get lost or duplicated when the connection comes back online. It took time to design a reliable queue system and test different scenarios where users might go in and out of connectivity.

The mission of HealthHub is clear: to make digital healthcare accessible to everyone, everywhere, regardless of internet availability using RAG and LLM models to give users precise data. By giving patients and healthcare workers in low-connectivity regions a tool that still functions offline, we’re helping bridge the gap and provide timely insights that could guide someone to seek medical attention when they need it most.

Built With

• agents
• ai
• golang
• indexdb
• javascript
• llms
• postgresql
• python
• react