UniNotify is a context-aware mobile/web application designed to help university students access important information such as class schedules, weather updates, announcements, and alerts in a centralized and user-friendly platform.
Students often struggle to manage scattered information across different platforms (notice boards, emails, schedules). UniNotify solves this problem by providing a unified system that delivers real-time, relevant information based on user context.
- Provide centralized access to university-related information
- Improve student awareness of schedules and important updates
- Deliver real-time notifications for critical events
- Enhance user convenience through a context-aware system
Students face several challenges:
- Difficulty accessing real-time class schedules
- Missing important announcements and tasks
- Information scattered across multiple platforms
- Lack of real-time weather and situational awareness
- Security and privacy concerns for student data
UniNotify provides:
- Integrated Schedule Management – easy access to class timetables
- Real-time Notifications – alerts for tasks, announcements, and updates
- Weather Integration – real-time environmental awareness
- Context-Aware Features – information based on user location and time
- User-Friendly Interface – simple and accessible design
Frontend
- React.js
- Tailwind CSS
Backend
- Node.js
- Express.js
Database
- MongoDB
Other Technologies
- Progressive Web App (PWA)
- Google Maps API (location-based features)
- Moodle Integration
- GitHub – version control
- Context-aware notification system
- Real-time schedule and task updates
- Location-based information delivery
- Weather updates integration
- Offline support (PWA capability)
- Push notifications for important events
- Integration of multiple data types:
- Temporal (schedules)
- Spatial (location)
- Environmental (weather)
- Designed for cross-device compatibility via web technologies
- Focus on usability, accessibility, and performance
- Khant Hmue
- Aung Min Thant
- Chan Min Kyaw
- Chan Myae Aung
- Htet Shine
- Sithu Kyaw
- Ye Htet Mg Mg
This project contributed to a research publication focusing on context-aware notification systems and real-time information delivery in academic environments.
- Enhanced personalization using AI/ML
- Better recommendation system for notifications
- Integration with university LMS systems
- Improved scalability and cloud deployment