timeweaver_webapp

⏱️ TimeWeaver

Automated Timetable & Faculty Workload Optimization System

TimeWeaver is an intelligent academic scheduling platform that automatically generates conflict-free timetables while optimizing faculty workload, classroom usage, and institutional constraints.
It transforms complex manual scheduling into an efficient, transparent, and error-free process.

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🚀 Features

• ✅ Automated conflict-free timetable generation
• ✅ Supports theory classes, labs, electives, and multi-section courses
• ✅ Faculty workload balancing
• ✅ Classroom & resource capacity optimization
• ✅ Real-world institutional constraints handling
• ✅ Unified optimization engine (constraints + optimization logic)
• ✅ Interactive timetable visualization
• ✅ Scalable and modular system design

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🧠 System Architecture

TimeWeaver uses a single unified optimization engine that:

• Models institutional rules as constraints
• Applies optimization logic to generate feasible schedules
• Automatically detects and resolves conflicts
• Ensures balanced faculty workload distribution

The frontend includes a Visualization Module to clearly display timetables and workload allocation.

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🏗️ Tech Stack

Layer	Technology
Frontend	HTML, CSS, JavaScript
Backend	Python (Flask)
Database	MongoDB
Optimization	Constraint-based & heuristic scheduling
Deployment	Docker (optional)

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📐 UML Diagrams

The project follows standard software engineering practices and includes:

• Use Case Diagram
• Class Diagram
• Sequence Diagram (MoB)
• Activity / Deployment Diagram

These diagrams help understand system flow, architecture, and interactions.

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📂 Project Structure

TimeWeaver/ │── frontend/ │ ├── index.html │ ├── styles.css │ └── scripts.js │ │── backend/ │ ├── app.py │ ├── scheduler/ │ │ └── optimization_engine.py │ └── models/ │ │── database/ │ └── schema.json │ │── uml/ │ └── diagrams/ │ │── README.md

🎯 Use Cases

• Universities & colleges
• Academic coordinators
• Faculty workload planners
• Institutions with complex scheduling requirements

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🔮 Future Enhancements

• AI-based predictive scheduling
• Role-based access (Admin, Faculty)
• Export timetables as PDF / Excel
• Real-time constraint updates
• Cloud deployment

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👨‍💻 Author

Anush Rithvic
Computer Science Undergraduate
Passionate about building scalable, impactful systems

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⭐ Show Your Support

If you find this project useful, please give it a ⭐ on GitHub!