Skip to content

Latest commit

 

History

History
42 lines (35 loc) · 1.92 KB

README.md

File metadata and controls

42 lines (35 loc) · 1.92 KB

Team Valhalla - Smart Automation for Hospital Appointments

Overview

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.

Technology Stack

  • 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

Features

  • 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

Dependencies

  • 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

Use Cases

  • Booking appointments through AI chatbot
  • Doctor search based on symptoms and immediate measures
  • Real-time notification and rescheduling for doctor availability changes (In progress)

Team Members