Automated College Timetable Generator Using MERN Stack
The Automated College Time table Generator Using MERN Stack is a web-based application developed to streamline the complex and time-consuming process of time table creation in educational institutions. Built using MongoDB, Express.js, React.js, and Node.js, the system automates the scheduling of classes by considering essential academic parameters such as semesters, degrees, years, subjects, and lecturer availability. It significantly reduces manual workload, eliminates scheduling conflicts, and ensures optimal utilization of academic resources.
The system consists of three main modules: Admin, Staff, and User. The Admin can log in and manage academic structures like semesters, degrees, years, lecturers, and subjects. Admins can also manage staff logins, generate time tables and export them as CSV files. The Staff module allows faculty members to log in and view all available time tables. The User module, designed for students, includes functionalities such as registration, login, profile management, and personalized time table viewing based on their degree, semester, and year. Once logged in, students can access and view only the time table relevant to their academic details, ensuring a clear, focused view without any confusion.
To maintain consistency and structure in scheduling, the system enforces specific validation rules: each subject is limited to a maximum of 5 hours, a minimum of 8 subjects is required per time table, and the total time table hours must be exactly 40 hours. With its intuitive user interface and responsive design, this centralized platform enhances coordination, boosts academic efficiency, and offers a scalable scheduling solution adaptable to a wide range of educational institutions.Automated College Timetable Generator Using MERN Stack
MERN React JS Software Languages
- Front End : React JS, CSS3, Bootstrap
- Back End : Express JS, Node JS,
- Data Base: Mongo DB
Tools:
- VS Studio
- Mongo DB
Existing System
The current system used in many colleges for time table generation is an manual process that involves using spreadsheets, paper-based records, or basic software tools like Microsoft Excel or Word. The time table is typically created by academic coordinators or department heads who manually assign subjects, lecturers, rooms, and time slots. This process requires constant cross-referencing of faculty availability, subject hours, and classroom allocations. Changes or updates to the time table often require redoing large portions of the schedule, making it time-consuming and error-prone.
Disadvantages of Existing System
- Time-Consuming: Creating and updating time tables manually takes a significant amount of time and effort.
- High Risk of Errors: Prone to human mistakes such as overlapping classes, assigning the same lecturer in multiple places, or miscounting subject hours.
- Lack of Validation: No automatic checks for maximum subject hours, total hours, or required subjects, which can lead to unbalanced schedules.
- Difficult to Update: Any change in lecturer availability or subject list requires manual rework, affecting the entire time table.
- No Central Access: Time tables are often shared in physical format or static files, making it hard for students and staff to access updates in real-time.
- Poor Resource Utilization: Manual planning often leads to inefficient use of classrooms and faculty time.
- Not Scalable: Becomes increasingly difficult to manage as the institution grows in size or introduces new courses.
Proposed System
The proposed system is a web-based Automated College Time table Generator built using the MERN Stack (MongoDB, Express.js, React.js, and Node.js). It is designed to eliminate the challenges and inefficiencies of traditional, manual scheduling methods. The system enables Admin to define and manage academic parameters such as semesters, degrees, years, subjects, and lecturer information. It includes a smart time table generation feature that enforces key validation rules: each subject can have a maximum of 5 hours, there must be at least 8 subjects, and the total weekly time table hours must be exactly 40 hours. This ensures balanced and efficient scheduling.
Advantages of Proposed System
- Automated Scheduling: Reduces manual workload and human errors.
- Validation Rules Enforcement: Ensures accurate, standardized time tables (40 total hours, max 5 per subject, min 8 subjects).
- Conflict-Free Time tables: Avoids overlaps in class and faculty schedules.
- Role-Based Access Control: Separate modules for Admins, Staff, and Students improve usability and security.
- Personalized Time table View: Students view only their relevant schedules based on academic info.
- CSV Export: Admins can export generated time tables for offline use or sharing.
- Scalable and Centralized: Easily adaptable to multiple departments and scalable for large institutions.
- Real-Time Updates: Instant reflection of changes across all user views.
- Responsive UI: Works seamlessly across devices, ensuring accessibility.
Conclusion:
The Automated College Time table Generator Using MERN Stack offers a powerful, efficient, and user-friendly solution to the complex and time-consuming task of academic scheduling. By leveraging the capabilities of MongoDB, Express.js, React.js, and Node.js, the system streamlines timetable generation through a centralized web platform. It effectively reduces manual errors, enforces scheduling rules, and improves resource utilization. With distinct modules for Admin, Staff, and Users (Students), the system ensures role-based access and personalized time table views. Students can seamlessly view their schedules based on their degree, semester, and year, while administrators can easily manage academic data and export time tables. Overall, the system enhances coordination, productivity, and academic efficiency in educational institutions.
