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Schedule Optimizer

The Schedule Optimizer is a web and mobile app that uses advanced algorithms to create efficient, conflict-free university schedules for classes, exams, and resources, offering flexibility and accessibility on both platforms.

Domain: AI & Machine Learning

Cohort 1

Problem Statement

The Schedule Optimizer project addresses inefficiencies in manual timetable management by automating the scheduling process, resolving conflicts, and providing real-time updates. This ensures smooth academic operations and improves user experience for administrators, faculty, and students. o Manual timetable creation is time-consuming and error prone. o Lack of a centralized system for managing schedules. o Difficulty in handling last-minute changes and makeup classes.

Architecture Diagram

Algosight AD.avif

Demo Video

Watch the demo video to see how this project works, explore its key features, and understand how it delivers insights in real-world scenarios.

Watch on YouTube

GitHub Repository

Explore these  in the project's GitHub repository

  • Source code

  • Documentation

  • Setup instructions

View on GitHub

Demo Video

Watch the demo video to see how this project works, explore its key features, and understand how it delivers insights in real-world scenarios.

Watch on YouTube

GitHub Repository

Explore these  in the project's GitHub repository

  • Source code

  • Documentation

  • Setup instructions

View on GitHub

Demo Video

Flow Diagram 

Demo Video

Domain Model

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Demo Video

Flow Diagram

Demo Video

Architecture Diagram 

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