Toll Free Helpline (India): 1800 1234 070
Rest of World: +91-9810852116
Free Publication Certificate
Submit Manuscript
Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
Main Menu
Special Issue
Copyright Form
Identifier
Vol. 8, Issue 1 (2019)
Innovative automated class timetable generator with smart scheduling
Author(s):
Neha Sewal
Neha Sewal
Abstract:
The Automated Class Timetable Generator is a project developed using Node.js, Express, and Mongoose, aimed at efficiently creating class timetables for educational institutions. Timetable generation is a complex task that requires careful consideration of various factors, such as course offerings, faculty availability, classroom capacities, and student preferences. This project leverages the power of Node.js, Express, and Mongoose to automate the process and streamline the creation of class timetables.
The Automated Class Timetable Generator is a project developed using Node.js, Express, and Mongoose, aimed at efficiently creating class timetables for educational institutions. Timetable generation is a complex task that requires careful consideration of various factors, such as course offerings, faculty availability, classroom capacities, and student preferences. This project leverages the power of Node.js, Express, and Mongoose to automate the process and streamline the creation of class timetables.
The system provides a user-friendly interface where administrators can input the necessary information, such as course details, faculty availability, and classroom capacities. The data is stored in a MongoDB database using Mongoose, allowing for easy retrieval and manipulation. The application incorporates intelligent algorithms to generate optimized timetables that satisfy the constraints and preferences defined by the administrators.
The key features of the Automated Class Timetable Generator include the ability to handle multiple courses, faculty members, and classrooms simultaneously. It ensures that there are no conflicts in scheduling, such as overlapping classes or faculty members assigned to multiple classes at the same time. Additionally, the system considers factors like student preferences for certain time slots or avoiding back-to-back classes.
The project utilizes the asynchronous nature of Node.js and the robustness of Express to handle concurrent user requests and provide real-time updates on timetable generation progress. The generated timetables can be previewed, modified, and exported in various formats for easy distribution to students, faculty, and staff.
Overall, the Automated Class Timetable Generator simplifies the complex task of creating class timetables by leveraging the capabilities of Node.js, Express, and Mongoose. Its user-friendly interface, intelligent algorithms, and real-time updates enhance efficiency and accuracy in timetable generation, benefiting educational institutions by saving time and effort in manual scheduling processes.
Pages: 771-776 | 279 Views 170 Downloads
How to cite this article:
Neha Sewal. Innovative automated class timetable generator with smart scheduling. Pharma Innovation 2019;8(1):771-776. DOI: 10.22271/tpi.2019.v8.i1m.25412
Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
Main Menu
Special Issue
Copyright Form
Identifier
The Pharma Innovation Journal
