MU-BUS is a real-time bus schedule management system designed for Metropolitan University.
It replaces the outdated PDF-based schedule system with a modern, connected platform that improves accessibility, communication, and efficiency for students, faculty, and staff.

The system consists of:

• Admin Web Application – For managing schedules, routes, buses, and announcements.
• User Mobile Application – Built with Flutter for quick and easy access to schedules, notifications, and feedback submission.

• Secure admin login/logout
• Dashboard overview
• Manage bus schedules, routes, and bus details
• Announcements and real-time notifications
• Demand analysis and service planning
• Developer support access

• User signup/login
• View and search bus schedules
• Receive instant push notifications
• Profile management
• Submit demands and feedback
• View announcements and updates

Home Screen	Bus Schedule	Notifications

Dashboard	Schedule Management	Announcements

Main tables include:

• admin – Admin login credentials
• developer – Developer access details
• users – Student and staff accounts
• bus_schedule – Complete bus schedule data
• routes – Predefined bus routes
• bus_types – Types of buses
• bus_demand – Demand submissions
• notifications – Alerts and announcements
• support_requests – Feedback and bug reports

• Context Diagram
• Use Case Diagram
• Entity-Relationship Diagram (ERD)
• System Sequence Diagram

Admin Side:

• Intel i3 or higher, 4GB RAM, 500GB storage
• HTML, CSS, Bootstrap, PHP, MySQL, Apache (XAMPP)

User Side:

• Android smartphone (2GB RAM+)
• Flutter SDK, Dart, PHP API

MU-BUS follows a client–server architecture:

• Clients: Admin web panel, mobile application
• Server: PHP & MySQL handling requests and business logic
• API Layer: Secure communication between clients and server
• Database: Centralized MySQL for real-time synchronization

The system was developed using the Agile Software Development Model:

1. Requirement gathering
2. System analysis
3. UI/UX design
4. Development (Web + Mobile)
5. Integration
6. Testing (unit, integration, user acceptance)
7. Deployment (localhost demo)

• Replace PDF-based schedules with a real-time system
• Enable centralized management of transport operations
• Provide instant communication via notifications
• Support secure authentication for admins and users
• Collect demand data for improved service planning

• GPS-based bus tracking
• Ticket booking system
• AI-based demand predictions

• Borna Rani Bhowmik
• Md. Yasin Ahmed Mahi

This project is for academic purposes and is not licensed for commercial use.