DocNav AI

Inspiration

In moments of health uncertainty, access to clear, immediate, and reliable information can be life-changing. Too often, people face a confusing and stressful decision: "Is this serious enough for the emergency room, or can I wait to see a doctor?" This moment of indecision can lead to delayed care or unnecessary panic. Our inspiration for DocNav AI was to bridge this critical information gap, creating a tool for societal betterment that empowers anyone, anywhere, to take the right first step in their healthcare journey.

What it does

DocNav AI is an intelligent, AI-powered healthcare navigator designed to be the public's first point of contact for non-emergency health queries. It delivers three core features:

• Intelligent Symptom Triage: Through an empathetic and guided conversation, the AI asks clarifying questions to understand a user's symptoms and provides preliminary guidance based on the urgency and nature of the issue.
• Multilingual Accessibility: To serve a diverse population, the entire platform is designed for multilingual support, ensuring that language is not a barrier to receiving crucial health information.
• Real-Time Clinic Discovery: Based on the AI's assessment and the user's location, the app instantly displays a map of nearby clinics, hospitals, and pharmacies, complete with operational hours and contact details.

How we built it

We chose the MERN stack (MongoDB, Express.js, React.js, Node.js) for its rapid development capabilities and robust performance, which is ideal for a hackathon. The frontend is built with React and styled with Tailwind CSS for a clean, responsive, and mobile-first user experience.

The core intelligence is powered by the Google Gemini API, where we have invested significant effort in advanced prompt engineering to ensure the AI's responses are safe, helpful, and responsible. The backend, built on Node.js, securely handles user authentication with JWT and manages all API integrations, including the Google Maps API for the clinic discovery feature.

Challenges we ran into

A key challenge we anticipate is crafting the AI prompts with the perfect balance of empathy and caution, ensuring the AI never provides a medical diagnosis but rather empowers the user with information. Ensuring data privacy and building a system that users can trust with their health queries will be our top priority throughout the development process.

What's next for DocNav AI

The vision for DocNav AI extends far beyond this hackathon. Future plans include integrating appointment booking systems, providing personalized health tips based on user history, and potentially incorporating data from wearable devices to offer proactive health monitoring.

Built With

• express.js
• git
• google-gemini-api
• google-maps
• jwt-for-authentication
• mongodb
• node.js
• react.js
• tailwind-css
• vite