๐ 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 youโre 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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๐ 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 |
๐ง 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.
โ๏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
โ๏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
โ 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
๐ How to Run This Project
- Download the full project using the button below.
- Unzip the project folder.
- Install Backend Dependencies:
cd backend pip install -r requirements.txt python app.py
- Run Frontend:
cd ../ npm install npm start
- Open your browser at
http://localhost:3000
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