AEGIS is a multi-agent AI Clinical Assistant built with Flutter and Med-Gemma 4B to help doctors diagnose, retrieve records, and generate reports hands-free in under-resourced clinics.
# ⚕️ AEGIS - AI Doctor Assistant App
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**Project name:** *AEGIS*
**Team Name:** *Black Cat*
**Team Members:** *Sumit Singh - Vibecoder and AI/ML Engineer*
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**Problem statement**
*In many rural or under-resourced healthcare settings, doctors lack immediate support to comprehensively interpret patient history, potential complications, or diagnostic clues. This can lead to missed or delayed diagnoses, worsening patient outcomes. I aim to bridge this gap with an AI-assisted voice companion "SUVI" that helps doctors analyze patient cases in real-time, ensuring they don’t miss key details—even in resource-limited environments.*
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**Motivation for the project**
*My grandfather had a small infection on his hand due to a cut by a rusted and old blade and my grandfather live in a very rural area. So he showed his wound to a local doctor there and the doctor diagnosed it and gave him some medicine. Slowly the infection grew bigger nad bigger and eventually the we had to shift to a city hospital where he was made to amputate his infected arm and the doctors said only if the infection was diagnosed perfectly earlier we wouldn't had to amputate his arm. NOw I totaly understand that Doctors are human to and it might be duw to some physical or mental reason he was unable to diagnosed my grandfather accurately. And this gave me the motivation to build this app, and I believe that Ai can help the doctor so much by being an assistant to them so that the doctor can diagnosed the patients much better by leveraging ai capabilities like image and report scanning, one to one deep conversation, patient previous data retrival by RAG.etc*
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**Overall solution**
*To solve this, I built AEGIS—a multi-agent AI operating system that fits right into a doctor's pocket. By utilizing Google's **Med-Gemma 1.5 (4B)** model, I created "Suvi", a conversational AI Clinical Nurse.*
*The effective use of this medical-grade model lies in its Agent-to-Agent (A2A) architecture. Instead …