Educational institutions today face significant challenges in creating efficient and conflict-free timetables due to the increasing complexity of courses, faculty availability, and resource allocation. Traditional manual scheduling methods are time-consuming, error-prone, and often fail to optimize available resources effectively. This research paper presents the Automatic Time Table Generator (ATTG), an intelligent and automated system designed to generate optimized timetables with minimal human intervention. The proposed system is developed using a web-based framework and incorporates algorithmic approaches to handle constraints such as faculty availability, classroom allocation, subject requirements, and time slot distribution. ATTG utilizes constraint-based scheduling techniques along with optimization algorithms to ensure conflict-free and balanced timetable generation. The system dynamically processes input data and produces efficient schedules in real-time, reducing redundancy and manual effort. Additionally, the system provides a user-friendly interface for administrators, enabling easy data input, modification, and visualization of generated timetables. The inclusion of automated validation

mechanisms ensures accuracy and consistency across all generated schedules. This approach significantly enhances operational efficiency, reduces scheduling conflicts, and improves overall academic planning. The proposed system demonstrates a shift from traditional manual scheduling to an automated, data-driven solution, thereby increasing reliability, saving time, and improving