ZipClip
Final Year Project (In Progress)
Project Vision
Project Status
Academic Context
Why This Project Matters
ZipClip is an AI-powered video intelligence system designed to automatically transform long-form videos into short, high-impact highlight clips optimized for social media platforms.
This project is being developed as our final year academic project and is currently in progress. The primary goal of ZipClip is to reduce the time and manual effort involved in content editing by using intelligent analysis to identify meaningful moments within videos.
With the rapid growth of short-form content, creators often spend more time editing than creating. ZipClip aims to bridge this gap by leveraging multi-agent AI techniques to understand video structure, emotions, speech patterns, and actions—then automatically generate concise, engaging clips.
ZipClip represents our attempt to combine AI research, system thinking, and user-centered design into a practical tool that addresses a real and growing problem in digital content creation.
This project is being developed as part of our B.Tech Final Year Project, with a strong emphasis on:
ZipClip is currently in the design and development phase.
At this stage, we are focusing on:
The project is actively evolving, and further technical implementation and testing are in progress.
What ZipClip Focuses On
Thanks for coming :)
ZipClip
Final Year Project (In Progress)
Project Vision
Project Status
Academic Context
Why This Project Matters
ZipClip is an AI-powered video intelligence system designed to automatically transform long-form videos into short, high-impact highlight clips optimized for social media platforms.
This project is being developed as our final year academic project and is currently in progress. The primary goal of ZipClip is to reduce the time and manual effort involved in content editing by using intelligent analysis to identify meaningful moments within videos.
With the rapid growth of short-form content, creators often spend more time editing than creating. ZipClip aims to bridge this gap by leveraging multi-agent AI techniques to understand video structure, emotions, speech patterns, and actions—then automatically generate concise, engaging clips.
ZipClip represents our attempt to combine AI research, system thinking, and user-centered design into a practical tool that addresses a real and growing problem in digital content creation.
This project is being developed as part of our B.Tech Final Year Project, with a strong emphasis on:
ZipClip is currently in the design and development phase.
At this stage, we are focusing on:
The project is actively evolving, and further technical implementation and testing are in progress.
What ZipClip Focuses On
Thanks for coming :)
ZipClip
Final Year Project (In Progress)
Project Vision
Project Status
Academic Context
Why This Project Matters
ZipClip is an AI-powered video intelligence system designed to automatically transform long-form videos into short, high-impact highlight clips optimized for social media platforms.
This project is being developed as our final year academic project and is currently in progress. The primary goal of ZipClip is to reduce the time and manual effort involved in content editing by using intelligent analysis to identify meaningful moments within videos.
With the rapid growth of short-form content, creators often spend more time editing than creating. ZipClip aims to bridge this gap by leveraging multi-agent AI techniques to understand video structure, emotions, speech patterns, and actions—then automatically generate concise, engaging clips.
ZipClip represents our attempt to combine AI research, system thinking, and user-centered design into a practical tool that addresses a real and growing problem in digital content creation.
This project is being developed as part of our B.Tech Final Year Project, with a strong emphasis on:
ZipClip is currently in the design and development phase.
At this stage, we are focusing on:
The project is actively evolving, and further technical implementation and testing are in progress.
What ZipClip Focuses On
Thanks for coming :)