Inspiration
We realized that access to timely and reliable healthcare is a huge challenge. Many people rely on random internet searches for their symptoms, which creates anxiety and misinformation. Inspired by this gap, we built Clinix AI to serve as a smart healthcare companion — providing quick, AI-driven preliminary guidance and connecting patients to better care.
What it does
Clinix AI is an AI-powered health assistant that: Analyzes symptoms entered by the user Suggests possible conditions (using Bayesian probability + AI models) Keeps patient records securely in Neon SQL (PostgreSQL) Provides doctors with a structured history for quicker diagnosis Acts as a bridge between patients and professionals, not a replacement for them
How we built it
Frontend → React + Vite
Backend → Node.js + Express
Database → Neon SQL (serverless PostgreSQL with branching)
AI Model → Gemini-based natural language understanding
Security → JWT Authentication + Encryption
Accomplishments that we're proud of
Built a working cross-platform health app in hackathon time Integrated AI + SQL backend seamlessly Ensured data privacy & security in patient records Designed an app that is practical, scalable, and user-friendly
What we learned
How to integrate AI models into real-world applications Importance of data security in healthcare Leveraging Neon SQL’s branching and serverless features for quick iteration The balance between accuracy, safety, and usability
Built With
- express.js
- node.js
- react
- sql
- vercel
- vite
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