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VOL. 10, ISSUE 3 (2025)
Artificial Intelligence for Real-Time Automated Timetable and Faculty Scheduling in Colleges
Authors
Prakash Balasaheb Mande, Chetana Rahane
Abstract
Artificial Intelligence (AI) has
revolutionized educational institutions by streamlining administrative
processes, and one of the most challenging tasks is real-time automated
timetable and faculty scheduling in colleges. Traditional scheduling methods
are often inefficient, time-consuming, and prone to conflicts, leading to
disruptions in academic operations. This paper presents an AI-driven system
that leverages machine learning algorithms, constraint satisfaction techniques,
and optimization heuristics to generate conflict-free, adaptive, and efficient
timetables. The proposed system dynamically allocates faculty members,
classrooms, and time slots based on various constraints such as faculty
availability, subject requirements, student preferences, and institutional
policies. By integrating real-time data processing, the system can instantly
adjust schedules in response to unforeseen changes, such as faculty absenteeism
or classroom unavailability, ensuring minimal disruption. The AI model employs
heuristic search techniques, genetic algorithms, and deep learning approaches
to enhance accuracy and efficiency. Additionally, a user-friendly interface
enables administrators to customize schedules, monitor real-time updates, and
resolve conflicts efficiently. The system's effectiveness is evaluated through
extensive simulations and realworld deployment in educational institutions,
demonstrating significant improvements in time management, resource
utilization, and academic coordination. The proposed AI-based approach not only
reduces administrative workload but also enhances the overall educational
experience by providing an optimized and flexible scheduling solution, ensuring
seamless academic operations in colleges.
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Pages:121-124
How to cite this article:
Prakash Balasaheb Mande, Chetana Rahane "Artificial Intelligence for Real-Time Automated Timetable and Faculty Scheduling in Colleges ". International Journal of Advanced Scientific Research, Vol 10, Issue 3, 2025, Pages 121-124
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