We are seeking an experienced developer or team to build a real-time chat and video conferencing application tailored for remote medical consultations. This system must allow healthcare providers to securely connect with patients over video, maintain a robust record of consultations, and integrate artificial intelligence (AI) to enhance patient data management, including analyzing conversation history, patient characteristics, and facial appearance.
The application will be developed for both web and mobile platforms (iOS + Android) to ensure accessibility and convenience for both doctors and patients.
Key Features & Requirements
✅ Real-Time Video Chat & Messaging
One-on-one video consultations between doctors and patients
Secure, encrypted video and audio streams (using WebRTC or similar technology)
Text-based real-time chat alongside video sessions
Support for screen sharing, file sharing (e.g., Medical reports, prescriptions)
✅ Recording & Storage
Automatic or manual recording of consultation sessions
Secure storage of video recordings linked to patient profiles
Ability to review past conversations and video history
✅ Patient Data Management
Database to store patient profiles, medical history, and consultation records
Storage of patient characteristics (age, gender, health details, etc.)
AI-driven analysis of patient facial appearance and expressions during consultations (for example, to assist in mood detection or health monitoring)
✅ Artificial Intelligence Integration
Use AI to analyze conversation history for keyword tagging, sentiment analysis, or diagnosis assistance
Optional: facial recognition or detection for patient verification or emotional tracking
✅ Cross-Platform Development
Web app (React, Vue, or Angular +
Node.js backend preferred)
Mobile apps (native Swift/Kotlin or React Native / Flutter for cross-platform)
✅ Security & Compliance
hipaa and gdpr compliance for patient data
secure authentication (oauth2, firebase, auth0, etc.)
Role-based access control (doctor, admin, patient)
✅ Admin Dashboard
View and manage consultations, users, system logs
Analytics on consultation times, doctor performance, patient feedback
Technical Stack (Suggested)
Frontend: React / React Native / Flutter
Backend:
Node.js (Express or NestJS), Python (for AI components)
Real-time: WebRTC, Websockets, Twilio, or Agora SDK
Database: MongoDB or PostgreSQL
AI: OpenCV, TensorFlow, or third-party APIs for facial analysis and conversation processing
Cloud & Storage: AWS, Azure, or Google Cloud with secure media storage
Deliverables
Functional web and mobile applications with real-time chat & video features
Admin dashboard for management and analytics
Database integration with full patient data records
AI features for analyzing conversation and facial data
Complete testing, deployment, and post-launch support
Project duration Not specified