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Spotlightmuseum of hackathon work

Exhibit entry

HealNav

Inspiration Access to basic healthcare in rural and remote regions remains a major challenge. During community visits and field research, we observed that many people rely on word-...

  • html5
  • css3
  • javascript
  • react.js
  • tailwind
  • node.js
  • express.js
  • mongodb
  • firebase
  • gemini-ai
  • google-maps
  • i18next
  • github
  • git
  • postman

2296

Accession mark

Status on file: Draft

Curator’s notes


## Inspiration Access to basic healthcare in rural and remote regions remains a major challenge. During community visits and field research, we observed that many people rely on word-of-mouth for health advice or travel long distances for minor issues. The idea for **HealNav** was born from the need to empower these communities with accessible, AI-driven healthcare support in their own languages. ## What it does **HealNav** is a Community Health Navigator Hub powered by AI that: - Provides preliminary health guidance via an AI chatbot. - Supports regional languages to overcome literacy and communication barriers. - Allows users to schedule appointments with traveling or nearby doctors—online or in-person. - Educates users with personalized health content based on symptoms and behavior. ## How we built it We built HealNav using the MERN stack (MongoDB, Express, React, Node.js) for robust web development. Firebase handled user authentication. The AI chatbot leverages a language model to understand user queries and offer guidance. We integrated multilingual support and responsive UI for accessibility on low-end devices. ## Challenges we ran into - Ensuring accurate health responses from the AI while maintaining safety. - Handling multilingual input and creating an intuitive UI for semi-literate users. - Simulating real-time doctor availability with limited backend resources. - Making the system usable on low-bandwidth networks in rural areas. ## Accomplishments that we're proud of - Successfully built a multilingual AI health chatbot with appointment scheduling. - Designed a user-friendly interface accessible even to non-tech-savvy individuals. - Integrated feedback from local NGOs and community health workers. ## What we learned - The importance of contextual design for underserved communities. - How to build an AI-first product while balancing ethical responsibility in healthcare. - Technical implementation of real-time systems, regional language processing, and responsive frontend design. ## What's next for HealNav - Integrate voice input and output for users with low literacy. - Partner with NGOs and local healthcare providers for pilot testing. - Expand features for traveling doctors, including route-based scheduling and medical record management. - Launch mobile-first versions and gather real-world impact data to refine the platform further.