User Simulation using MAS in Health-Care
This project implements a multi-agent system (MAS) that simulates a user‑facing healthcare concierge and specialist agents (medical strategist, nutritionist, performance scientist, physiotherapist, orchestrator). The demo includes a WhatsApp‑style chat UI, a health dashboard (wearables, timeline, daily plan), and an evidence pipeline for lab reports and artifacts. Agents are instrumented with tool calls (risk calculators, memory search, wearable fetch) and produce structured outputs with evidence_refs so the frontend can show provenance. The stack is designed for demoability: a Vite + React frontend with Tailwind, a Python backend (FastAPI style) with a MemoryStore (Postgres + Redis) and pluggable LLM provider. Use cases shown: “What’s my heart risk?”, daily plan generation, and upload/interpret lab reports — all with streaming assistant replies and tool‑call badges.
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"A straightforward take on a health app – it feels pretty classic. I’d suggest trying Lovable for the front end, since it tends to give stronger UI. More personalization would help, and something like computer vision to check whether exercises are done correctly could make it stand out. Right now the functionality is quite basic, but it’s still a cool project to take on. Congrats on finishing the hackathon."
Okti AIML API
Head of DevRel
For Innovators & Creators