Modular, full‑stack health management with role‑based access for patients, healthcare orgs, admins. Integrated microservices built in Go, Node.js, Python. Frontend: React, TypeScript. Backend: MongoDB, Redis, Docker, Kubernetes.
Medical image analysis via Vision Transformer (ViT) microservice in Go + Python.
Disease detection & stroke risk assessment using LLMs (Meta’s Gemma) + AI imaging pipeline.
Diet Planner & Nutrition Calculator microservice: Go + LLM for NLU parsing → calculates nutrition score + schedules.
AI‑powered chatbot using LLM integration for patient support.
Blood bank management with inventory, requests, notifications.
Scalable architecture: containerized microservices, Go routines, Go channels for concurrent processing, Redis cache, Swift REST APIs, WebSockets for real‑time updates.
Live: https://dhvani-five.vercel.app/user/dashboard | Repo: https://github.com/MishraShardendu22/Dhvani