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Home Page
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Registration Page
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Appointment page
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Token Number alotted t particular user
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Emergency page
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HealthCare Bot
Inspiration
The inspiration for RayCure came from real-world hospital experiences where long waiting times and unorganized queues caused distress to patients. We wanted to create a seamless system that would reduce waiting times, improve efficiency, and provide a better experience for both patients and healthcare providers.
What it does
RayCure is a queue management system that allows patients to book appointments online, an Emergency tracker, track their position in real-time, and receive notifications when their turn is near. The system also provides doctors and administrators with tools to manage queues efficiently.
How we built it
Backend: Built using Django and Django REST Framework for handling API requests and database management.
Frontend: Developed with React and Tailwind CSS for a responsive and interactive user experience.
Database: Used MySQL for storing patient, doctor, and appointment details.
Notifications: Integrated Twilio API for SMS alerts and Firebase for push notifications.
Real-Time Updates: Implemented Django Channels and WebSockets for live queue tracking.
Challenges we ran into
Implementing real-time queue updates without causing performance issues.
Ensuring accurate estimated wait times based on queue length and doctor availability.
Managing emergency cases dynamically while maintaining fairness in the queue.
Creating an intuitive and user-friendly interface for both patients and hospital staff.
Accomplishments that we're proud of
Successfully developed a functional queue management system that reduces hospital wait times.
Integrated real-time tracking and notification features for better patient experience.
Designed a scalable system that can be adapted to different hospitals and clinics.
Implemented emergency prioritization to ensure critical cases get immediate attention
What we learned
The importance of optimizing database queries for faster queue updates.
How to handle real-time data efficiently using WebSockets.
Best practices for designing user-friendly healthcare applications.
Effective ways to integrate third-party APIs for notifications and authentication.
What's next for RayCare Queue
AI-Based Wait Time Prediction: Use machine learning to predict wait times more accurately.
Multilingual Support: Make the system accessible to a wider audience by adding regional language options.
QR Code Integration: Generate QR codes for token numbers to improve check-in efficiency.
Voice Announcements: Implement automated voice announcements for patient calls.
Integration with Hospital Systems: Connect with existing hospital databases for seamless operation.
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