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Dhvani - Smart Health Management Platform 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. Key Features: 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
Blood Sphere – Hackathon Winning Project @ IIT Dharwad (Team ParashuRam) Developed a full‑stack, microservices‑based blood bank management system to streamline donation, inventory, and request handling. Tech Stack: Go (Golang) for microservices handling core logic and inventory management Node.js for backend integration, routing, and API orchestration React.js + Next.js for the frontend with modern UI/UX Nextra for clean, structured technical documentation MongoDB as the primary database Features: Real-time inventory tracking Role-based access for hospitals, admins, and donors Blood request/fulfillment engine Retrieval-Augmented Generation (RAG) setup for future AI integration Deployed as a SaaS model with modular microservices Awarded Winner of the IIT Dharwad Hackathon hosted by CGC.