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@article{186665,
        author = {SANTHIYA K and MALATHI M and SRINITHI S M and SURESH KUMAR S},
        title = {SMART SCHEDULE GENERATOR},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {3206-3213},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186665},
        abstract = {The Smart Schedule Generator is a comprehensive solution designed to address the complex scheduling challenges faced by educational institutions. Traditional manual schedule creation is a time-consuming and error-prone process that often results in conflicts, inefficient resource utilization, and scheduling inconsistencies. This project is built using modern web technologies including HTML, CSS, and JavaScript for the front-end, Python for intelligent schedule generation, and SQLite for efficient database management. The system presents an intelligent automated approach that generates optimized timetables while considering multiple constraints such as faculty availability, subject requirements, and classroom capacity. It employs advanced algorithmic and constraint satisfaction techniques to ensure that no teacher is assigned to overlapping classes, and every course is allocated to an appropriate slot based on priority and availability. The system integrates data validation and optimization logic to minimize idle time and maximize classroom utilization. Key features include real-time conflict detection, automatic resolution of scheduling issues, and the ability to generate and compare multiple timetable versions for best-fit selection. Additionally, the system provides a user-friendly graphical interface allowing administrators to input and update data easily, adjust parameters dynamically, and export schedules in formats such as PDF or Excel. It also supports role-based access control, enabling faculty and students to view personalized schedules securely. The project enhances operational efficiency, reduces manual workload, and ensures fair and transparent scheduling. By automating repetitive tasks and ensuring accuracy, the Smart Schedule Generator contributes to better academic planning, improved resource management, and streamlined institutional operations.},
        keywords = {Smart Scheduling, Real-time Conflict Detection, Algorithmic Optimization, Constraint Satisfaction, Python-based Scheduling.},
        month = {November},
        }