AI & ML Enabled Video Analysis and Interpretation

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Authors: Vivek Chauhan, Vivek Sharma, Yash Rajput, Shani Rathore, Mr. Suman Kumar Jha, Prof. Badal Bhushan
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Abstract

With video content absolutely everywhere these days—on learning platforms, in business settings, across social media—trying to analyze it all by hand has become practically impossible. Our paper describes a framework we built that uses AI and machine learning to make understanding videos much simpler, whether you're uploading your own footage or just sharing a link to something online. Here's how it works: the system examines what's actually happening on screen while also listening to the audio, then brings everything together into summaries that actually make sense. We're using a Transformer-based model that's really good at figuring out how different moments in a video relate to each other and what they mean in context. After you get your summary, there's also a lightweight language model that lets you have an actual conversation about what you watched—you can ask questions and get answers that show a real understanding of the content.

Fields of Study & Subjects

Video Analysis and Summarization Multimodal Machine Learning Applications Human Pose and Action Recognition

Publication details

Journal / source
International Journal of Research and Innovation in Applied Science
Volume
X
Issue
XII
Pages
801–809
Publication date
1 January 2026