Location
https://www.kennesaw.edu/ccse/events/computing-showcase/fa24-cday-program.php
Event Website
https://psenior4850.github.io/
Document Type
Event
Start Date
19-11-2024 4:00 PM
Description
Migrating to the Azure cloud platform poses unique cost-assessment and planning challenges. Our project introduces a user-friendly, AI-driven tool to simplify this process by providing real-time cost predictions and personalized migration strategies. Built with a React frontend and a Flask-based Python backend, this tool integrates Azure Pricing APIs to ensure accurate data. Future improvements include adding alerts, custom fine-tuned model, CI/CD, multi-cloud support, and a discovery agent for enhanced functionality.
Included in
UC-150 Azure Migration Assistant
https://www.kennesaw.edu/ccse/events/computing-showcase/fa24-cday-program.php
Migrating to the Azure cloud platform poses unique cost-assessment and planning challenges. Our project introduces a user-friendly, AI-driven tool to simplify this process by providing real-time cost predictions and personalized migration strategies. Built with a React frontend and a Flask-based Python backend, this tool integrates Azure Pricing APIs to ensure accurate data. Future improvements include adding alerts, custom fine-tuned model, CI/CD, multi-cloud support, and a discovery agent for enhanced functionality.
https://digitalcommons.kennesaw.edu/cday/Fall_2024/Undergraduate_Project/9