Inspiration

In February 2026, my father suffered severe heart pain and was hospitalized. During his treatment, the medicines and medical equipment prescribed by the doctors were not available at nearby medical store because they were out of stock. Somehow, I managed to arrange everything with the help of my childhood friend.

While talking to him, I learned that he had recently started a medical equipment supply business. He also recently built his business website which was built in Squarespace, but he wants it to be transferred to Shopify to avail local payment gateways. Since I had prior experience developing and hosting websites, I helped him with the migration.

These two incidents made me think: why not automate the process so that the inventory of critical medicines and emergency medical equipment can be monitored, with timely alerts or replenishment before supplies run out? That idea became the inspiration for building SunMediAssist

What it does

SunMediAssist turns supply chain operations into an autonomous AI system that:

  • Detects risk in real time
  • Predicts supply depletion before it happens
  • Automatically triggers emergency workflows
  • Executes orders via Shopify API
  • Provides explainable AI reasoning for every action

Why it matters

  • Real-world AI autonomy
  • Multi-agent orchestration (LangGraph)
  • Production-grade API integrations
  • Event-driven architecture
  • Explainable AI decision systems

How we built it

  • I took help from ChatGPT, used Open AI GPT API, LangGraph orchestration, LangChain ecosystem and integrated Shopify Admin API to build.
  • For front-end I used Next.js (App Router), React, TypeScript, Tailwind CSS, Vercel
  • For backed I used, FastAPI, LangGraph, Python, Uvicorn
  • For Mobile application, I used Android (Kotlin)
  • For infrastructure Render (Backend hosting), Vercel (Frontend hosting), Shopify Admin API, Supabase (optional persistence)

Challenges we ran into

  • As I am currently Android mobile app developer and I used to be PHP web developer long back, some of the tech stacks are very new to me.
  • Integrating latest Shopify Admin API into the system because older APIs are deprecated and for the new ones documentation are not easily available on the internet.

Accomplishments that we're proud of

  • I faced real-time medical emergency and I used my technical skills and experience to build a solution for it that can be helpful for others.

What we learned

  • New tech skills
  • convert real life problem into solution

What's next for SunMediAssist

  • Real-time streaming agents
  • Hospital multi-tenant architecture
  • Predictive ML demand forecasting
  • WhatsApp / SMS integration
  • Full supply chain automation layer

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