Saviot
Abstract
Problem Statement
The growing complexity of academic scheduling in educational institutions often leads to manual errors, time conflicts, and inefficiencies that affect faculty, administration, and students alike. This project, Schedule Optimizer, presents an intelligent solution that automates timetable creation using Artificial Intelligence. The system is designed to generate conflict-free schedules by considering constraints such as teacher availability, room allocation, and course requirements. By minimizing human effort and reducing scheduling conflicts, the Schedule Optimizer not only enhances operational productivity but also ensures transparency and better time management across the board. This project represents a step toward smarter, AI-powered academic administration in the digital age.
Households often face excessive electricity bills due to unmanaged and continuous appliance usage. Saviot aims to optimize this by combining real-time monitoring with intelligent automation.
Class Diagram
Flow Diagram
Demo Video
Flow Diagram
Demo Video
Class Diagram
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Demo Video
Flow Diagram
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Demo Video
Watch the demo video below for a guided walkthrough of the project's key features and functionality. It offers a clear look at the system's interface, workflow, and how it performs in real-world scenarios.
Demo Video
Architecture Diagram
Explore the project’s source code on GitHub to dive deeper into its structure, logic, and implementation. The repository includes all files, documentation, and version history for those interested in the development process.
View the project poster for a visual summary of the concept, and methodology. It highlights the key components, architectural diagrams, and project outcomes in a concise, easy-to-understand format designed for quick review.
Project Poster
View the project poster for a visual summary of the concept, and methodology. It highlights the key components, architectural diagrams, and project outcomes in a concise, easy-to-understand format designed for quick review.
GitHub Link
Explore the GitHub repository for a complete view of the code, architecture, and implementation process. It provides version history, modular structure, and technical insight in a clear and accessible format.