Smart Timetable Suggestion App

Akula Lakshmi Priyanka, Chelli Asha Jyothi, Ambati Pavan Tanwesh; Mrs. V L N. Swapnika

doi:10.62647/

Authors

Akula Lakshmi Priyanka, Chelli Asha Jyothi, Ambati Pavan Tanwesh U. G Students, Dept COMPUTER SCIENCE AND ENGINEERING, St.Ann’s College Of Engineering and Technology, Nayunipalli (V), Vetapalem (M), Chirala, Bapatla Dist, Andhra Pradesh – 523187, India Author
Mrs. V L N. Swapnika Assistant professor, COMPUTER SCIENCE AND ENGINEERING, St.Ann’s College Of Engineering and Technology, Nayunipalli (V), Vetapalem (M), Chirala, Bapatla Dist, Andhra Pradesh – 523187, India Author

DOI:

https://doi.org/10.62647/

Keywords:

Smart Timetable Generation, Automated Scheduling, MERN Stack, MongoDB, Express.js, React.js, Node.js, Web-Based Scheduling System, Conflict-Free Timetable, AI-Based Scheduling, Time Management Automation, Academic Scheduling, Optimization Techniques, User-Friendly Interface, Data-Driven Timetable, Educational Technology.

Abstract

Creating academic schedules manually in educational institutions often results in class conflicts, errors, and inefficient use of faculty and classroom resources. To address these issues, the Smart Timetable Suggestion App is developed as a web- based solution capable of automatically generating accurate, conflict-free, and well-organized schedules. The system utilizes the MERN stack (MongoDB, Express.js, React.js, Node.js) to manage data, backend logic, and UI rendering. The application considers teacher availability, subject load, and classroom constraints to suggest optimized timetables. By shifting from conventional manual scheduling to an automated approach, the system saves time, reduces workload, minimizes human error, and enhances scheduling efficiency for administrators, faculty, and students.