Inspiration
Long-haul drivers face fatigue and health risks. We wanted to use AI to deliver real-time, personalized wellness advice to help keep drivers safe and healthy on the road.
What it does
GenAI Driver Wellness collects driver data, generates actionable AI wellness advice using Gemini, and displays it instantly in a clean web interface. Data is saved to Firestore and the app is deployed on Cloud Run for scalability.
How we built it
We used Python (Flask) for the backend, Firestore for data storage, Google Generative AI (Gemini) for wellness message generation, and Bootstrap for the frontend. The app is containerized with Docker and deployed to Google Cloud Run.
Challenges we ran into
Integrating GenAI for readable, actionable advice, handling Firestore authentication on Cloud Run, and ensuring the AI message renders cleanly in the UI were key challenges.
Accomplishments that we're proud of
We built a fully serverless, scalable app that delivers instant, personalized wellness advice. The AI messages are clear, actionable, and visually appealing.
What we learned
We learned how to combine serverless architecture, generative AI, and real-time data to solve real-world problems. We also gained experience with Cloud Run deployment and prompt engineering.
What's next for GenAI Driver Wellness
We plan to embed wellness advice into Google Maps, allowing drivers to hear tips and alerts while navigating. Future features include mobile integration and voice guidance for hands-free safety.
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