Time Table Generator

๐Ÿ“… AI-Powered Time Table Generator โ€” Web Application

Time Table Generator

Efficient scheduling made easy. The Time Table Generator is a powerful, professional-grade web application that automatically generates optimized timetables for academic institutions based on user-defined constraints. Whether youโ€™re a college administrator, a school scheduler, or a course coordinator, this free tool saves hours of manual planning with AI-assisted precision.

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๐Ÿ“Œ Project Summary

Project Name Time Table Generator Web Application
Language/s Used Python (Flask), JavaScript (ReactJS)
Backend Python (Flask Framework)
Frontend ReactJS
Database No Database Used
Developer UPDATEGADH
Type Web Application

๐Ÿง  About the Time Table Generator

The system is designed using a Constraint Satisfaction Problem (CSP) model that intelligently assigns time slots and teachers based on multiple constraints provided by the user. It delivers a valid timetable with no conflicts, all within seconds.

โš™๏ธ Constraint Satisfaction Problem (CSP) Model

  • Variables: Set of available time-slots
  • Domain: Set of all subjects to be scheduled
  • Constraints:
    • No overlap between subjects
    • Grouping of subjects with multi-hour sessions
    • Respect teacher working hours
    • Avoid back-to-back scheduling of specific subjects

โœ๏ธ User Inputs

  • Course Name
  • Instructor Name
  • Number of Lectures Per Week
  • Duration per Lecture/Lab
  • Instructor Availability
  • Overall Working Days/Hours
  • Subjects that must not be scheduled consecutively

โœ… Available Features

  • Automatic conflict-free scheduling
  • CSP-based intelligent slot assignment
  • Instructor availability consideration
  • Responsive user interface (ReactJS)
  • Lightweight โ€” no external database required
  • Frontend-backend integration via REST APIs
  • Visual preview of generated timetable

๐Ÿ“‚ How to Run This Project

  1. Download the full project using the button below.
  2. Unzip the project folder.
  3. Install Backend Dependencies: cd backend pip install -r requirements.txt python app.py
  4. Run Frontend: cd ../ npm install npm start
  5. Open your browser at http://localhost:3000.

Screenshot-2025-05-08-154026-1024x470 ๐Ÿ“… AI-Powered Time Table Generator โ€”  Web Application
Screenshot-2025-05-08-154018-1024x488 ๐Ÿ“… AI-Powered Time Table Generator โ€”  Web Application
Screenshot-2025-05-08-154003-1024x498 ๐Ÿ“… AI-Powered Time Table Generator โ€”  Web Application

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