Revolutionize Healthcare with AI-Driven Telehealth PlatformRevolutionize Healthcare with AI-Driven Telehealth Platform
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Sekiguchi Takumi
• Apr 15
Overview
An AI-first telehealth platform that enables patients to understand their health conditions, communicate with doctors, and manage medical data—all in one place.
The system combines real-time communication (chat, voice calls, and voice messaging) with AI-driven symptom analysis to create a faster and more accessible healthcare experience.
Key Features
🤖 AI Symptom Checker
Users can describe their symptoms in natural language and receive:
Risk level assessment (Low / Medium / High)
Immediate guidance
Suggested next steps
💬 Real-Time Communication
Patient ↔ Doctor chat
WebRTC-based voice calls
Voice messaging support
This enables both synchronous and asynchronous communication, improving accessibility and response time.
📅 Appointment Management
Book and manage appointments
Structured patient–doctor interaction flow
Appointment-based communication sessions
🧾 Medical Records System
Upload and manage medical documents
Structured health data (diagnosis, symptoms, medications)
Centralized patient history
🔔 Notification System
Appointment updates
New messages and call events
System alerts
Technology Stack
Frontend
Next.js (Web)
React Native / Expo (Mobile)
Backend
NestJS (modular architecture)
PostgreSQL with Prisma ORM
Real-Time & Communication
WebSockets (Socket.io)
WebRTC (peer-to-peer voice calls)
AI Integration
LLM-based symptom analysis
AI-assisted health insights
Infrastructure
Cloud-based deployment (Docker-ready)
Secure file storage for medical records
System Highlights
AI-first approach: Guides users before doctor interaction
Real-time communication: Chat, voice calls, and voice messages
Scalable architecture: Modular backend with clean separation of concerns
Healthcare-focused design: Structured records and controlled access
Cross-platform: Web and mobile support
Vision
The goal is to make healthcare more:
Accessible
Intelligent
Proactive
By combining AI with real-time communication, this platform reduces friction in the healthcare journey and helps users make faster, more informed decisions.
Status
MVP completed with:
AI symptom checker
Chat system
Voice calls (WebRTC)
Voice messaging
Appointment management
Medical records
Actively improving with plans for:
AI-powered health insights
Advanced analytics
Enhanced medical data structuring
Scalable production deployment
Conclusion
This project demonstrates how modern technologies like AI and WebRTC can be combined to build a next-generation healthcare platform that is both practical and scalable.
WebRTCBackend DevelopmentFrontend DevelopmentFull Stack DevelopmentNestJSNext.js
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