AI Shorts & The Creator Economy: YHack Victory

At the 2024 BYU ACM YHack, we set out to bridge the gap between long-form content and the viral potential of short-form video. In just 21 hours, we built a production-ready microservices architecture for automated video curation.

The Mission

"Build something that helps architect, enhance, or protect the Creator Community."

Key Innovations

• Engaging Section Detection: We developed an algorithm to identify the most engaging parts of a long video to automatically crop into 3 high-impact shorts.
• Automated Metadata: Using AI-generated transcripts, we suggested titles, descriptions, and hashtags tailored for TikTok and YouTube Shorts.
• Cross-Platform Analytics: A comparison engine that tracks trends across YouTube, TikTok, and Twitch to suggest content strategies for creators.

System Workflow

Results

Our team's execution from concept to completion earned us First Place and the Benny Award. A huge thank you to BENlabs for sponsoring and providing technical mentorship throughout the night.

Leading a team of brilliant engineers (Jonghyuk Lee, Suhyun Baik, Minjoong Kim, and Taehoon Kim) was the highlight of the event.