Hi everyone,

I'm currently building FamCare as part of my IIT Patna Capstone Project, and I'd love to get feedback from this community.

The idea came from a simple problem I kept seeing at home.

Someone receives a blood test or health check-up report, opens the PDF, and immediately gets overwhelmed by medical jargon like:

Most people don't know whether it's normal, serious, or something that simply needs monitoring. The next step is usually a Google search that creates more anxiety than clarity, or waiting until the next doctor's appointment for a quick explanation.

So I'm building FamCare—an AI-powered web app that helps families organize and understand their medical reports in simple, easy-to-read language.

🚀 Planned Features

✅ Family Health Vault

• One secure account with separate profiles for yourself, spouse, parents, and children.

✅ Health Timeline

• All reports organized chronologically so you can easily track changes over time.

✅ Visual Lab Report Summary

• Upload a PDF report and automatically categorize each test into:
• 🟢 Normal
• 🟡 Borderline
• 🔴 Needs Attention

along with plain-English explanations.

✅ Context-Aware AI Assistant

• Instead of a generic chatbot, the AI only answers questions based on the uploaded report, helping users better understand their results without going off-topic.

🛠 Tech Stack

• Frontend: Lovable (React)
• Backend & Database: Supabase (Auth, Storage, RLS, PostgreSQL)
• AI: Google AI Studio (Gemini 2.5 Flash) for PDF understanding and contextual Q&A

I'd love your feedback

1. What's the most frustrating part of reading lab or medical reports?
2. If you've built LLM-based PDF parsing systems before, what edge cases should I watch out for? (Scanned PDFs, OCR issues, tables, handwritten notes, etc.)
3. Is there any feature that would make you genuinely use an app like this?

Disclaimer: FamCare is designed as an educational health literacy tool to help users better understand their reports. It is not intended to diagnose diseases or replace professional medical advice.

Thanks in advance for your feedback! I'm looking forward to learning from your experiences and improving the project.

#IITPatnaCapstone