This is a submission for the GitHub Finish-Up-A-Thon Challenge.
What I Built
I built an AI-powered Webinar Moderation System that helps hosts manage large-scale webinars by automatically detecting technical issues, classifying attendee complaints, clustering duplicate reports, and prioritizing critical problems using NLP and Machine Learning.
Features
Real-time issue detection
Complaint classification
Duplicate complaint clustering
Priority scoring system
Demo
GitHub Repo: https://github.com/heyyveer/AI-Webinar-Moderation-System
Demo Video: https://drive.google.com/file/d/1FTsIUFoPthqwRAQAwhyMITOYQJmLCUBG/view?usp=sharing
The Comeback Story
This project started as an NLP experiment to reduce chat overload during webinars. I had already built the classification pipeline, clustering engine, and priority scoring module, but the project was incomplete.
For the Finish-Up-A-Thon, I improved the code structure, refined the AI pipeline, added documentation, and turned it into a more complete solution for webinar hosts.
My Experience with GitHub Copilot
GitHub Copilot helped me speed up development by suggesting code snippets, improving documentation, and assisting with repetitive coding tasks. It allowed me to focus more on solving the problem and improving the AI workflow
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