Team Valhalla has developed a mobile and web-based AI application aimed at streamlining hospital appointment scheduling. This system provides real-time updates and allocates slots based on doctor availability and waitlisted patients, significantly reducing wait times and associated costs for consumers.
- RFID: Real-time tracking with RFID Scanner ESP32 Mod
- NLP: AI chatbot using OpenAI API, NLP libraries, Langchain, Swagger, JS, and Flask
- Database: Hospital and doctor details storage with MySQL
- App Development: HTML, CSS, JavaScript, TypeScript, ReactJS, Flutter, Google Firebase, Postman API, Swift, Google Maps API
- Connection: AWS, Firewalls, Websockets, Node.js, Express.js, Arduino
- AI/ML: Reinforcement Learning, Collaborative filtering for AI-Powered Scheduling
- Multilingual AI Chatbot for symptom analysis and specialist recommendation
- AI-Powered Scheduling for dynamic appointment (re-)scheduling
- Emergency Feature for urgent appointment needs
- RFID technology for real-time doctor availability updates
- RFID and Geolocation: Essential for tracking doctor availability
- Database Management: Real-time data synchronization for accurate updates
- APIs: Critical for location services and chatbot functionality
- Challenges:
- Ensuring AI Chatbot accuracy
- Integrating Geolocation Beacons
- Compatibility with existing Hospital Management Systems
- Emergency Feature reliability
- Booking appointments through AI chatbot
- Doctor search based on symptoms and immediate measures
- Real-time notification and rescheduling for doctor availability changes (In progress)
- Harshvardhan Singh
- Aditya Varanasi
- Shreyas S
- Saksham Tyagi
- Vatanesh Sharma
- Nayna Bisht