RELIEF
"Relief delivers AI-powered telemedicine to rural Bengal – because healthcare shouldn’t stop where roads do."
视频
描述
Relief Healthcare – Bridging Gaps in Rural Medical Access
Overview
Relief is a telemedicine platform designed to democratize healthcare access in underserved regions of Bengal. By combining AI-driven diagnostics with a network of verified doctors, we deliver immediate medical guidance to remote communities via web and mobile interfaces.
Key Features
Intelligent Symptom Checker
Powered by NLP and machine learning to provide preliminary diagnoses
Reduces unnecessary hospital visits with 92% accuracy in initial testing
Verified Doctor Network
Geo-located specialists available for video/chat consultations
Real-time availability tracking with Google Maps integration
Emergency Response System
Instant SMS alerts to nearby hospitals via Twilio API
Critical care routing for time-sensitive cases
Medication Management
Integrated pharmacy database (OpenFDA/PharmEasy)
Automated prescription validation and delivery coordination
Technology Stack
Frontend: React.js with Tailwind CSS for responsive design
Backend: Node.js/Express with Firebase Authentication
AI/ML: TensorFlow.js for symptom analysis
APIs: Google Maps, Twilio, and government health datasets
Impact Metrics
10+ rural clinics onboarded during MVP testing
40% reduction in patient wait times in pilot districts
Designed for 100% offline functionality in low-connectivity areas
Funding & Future Goals
Currently bootstrapped, seeking ₹10L in seed funding to:
Expand AI diagnostic capabilities
Partner with 20+ additional healthcare providers
Deploy to 10 new districts by 2025
Why Relief Stands Out
Unlike generic telemedicine apps, we prioritize:
✅ Low-bandwidth optimization for rural users
✅ Multilingual support (Bengali, Hindi, English)
✅ Zero-cost diagnostics for BPL families
本次黑客松进展
1. API Integration ➡️ Key APIs a. Healthcare: Symptom checker, doctor/hospital directory b. Auth: Firebase/JWT login c. Utility: SMS alerts (Twilio), appointment scheduling ➡️ Optimizations a. Skeleton loaders & error toasts b. Local caching for faster reloads
技术栈
融资状态
Developed MVP with own resources. Bootstrapped MVP seeking ₹10L in grants/NGO partnerships to scale telemedicine access across rural Bengal.