Patient Vault

🧠 Inspiration

The idea for Patient Vault came from personal experience. I had to undergo a surgery and found it difficult to keep all my medical records organized. My grandmother, who has multiple chronic conditions, constantly visits hospitals and doctors—carrying piles of reports, prescriptions, and lab results. Every doctor she visits asks about her medical history, and recalling or finding that information quickly is always a challenge.

This made me realize that the most critical and often missing piece in any diagnosis is accurate patient history. That’s when I thought—what if there was a smart, secure, AI-powered vault for all your medical records?

💡 What it does

Patient Vault is an AI-powered health records manager that allows users to:

Securely store and access their medical documents (prescriptions, reports, lab results)
Ask Dr. Aiva, an AI assistant, questions about symptoms or health conditions
Receive intelligent summaries from their uploaded medical files
Maintain a complete and searchable digital health history
Share relevant history easily with doctors for faster diagnosis

🛠️ How we built it

The app was built using:

Bolt.new for the frontend (a low-code platform powered by React)
Supabase for the backend:
- Auth for login/signup
- Database for storing metadata and user details
- Storage for file uploads (e.g., reports, prescriptions)
OpenAI GPT-4 API to power the AI assistant, Dr. Aiva
Netlify for hosting the full-stack app

🧗 Challenges we ran into

Supabase complexity: It was my first time using Supabase, and setting up RLS policies and secure storage for sensitive health files was a challenge.
AI integration: Generating useful and context-aware medical replies while ensuring safety and clarity took a lot of prompt tuning.
File parsing: Handling and summarizing PDF/medical reports through AI required building clean data pipelines.
Low-code limitations: Working with Bolt's abstraction sometimes limited direct custom code injection.

🏆 Accomplishments that we're proud of

Successfully built a functional, AI-driven health assistant that feels responsive and human-like.
Integrated Supabase for secure file handling, learning its backend capabilities hands-on.
Designed the app to be patient-centric, accessible, and scalable with real-world use cases.
Created a live, deployed product in a short time with plans to add video AI, voice AI, and blockchain features.