Summary: Lit(m) is an automated system designed to capture concert experiences by recording live footage, identifying iconic moments, and automatically posting highlight clips to Instagram Stories.

Description: The platform utilizes the Marengo 2.7 video understanding model for lyric-based video searches. It creates dynamic indexes for each video and employs advanced text-to-timestamp matching for accurate clip extraction. This end-to-end automation solution seamlessly combines concert recording with social media posting by integrating multiple APIs, including OpenAI, Instagram, and Twilio.

GitHub repo: samanthavmac/litm

Devpost: Lit(m)

TrailMixer

Summary: TrailMixer is an AI-powered video editor that automatically creates polished trailers from raw footage by intelligently selecting clips and matching music based on sentiment.

Description: The system incorporates advanced TwelveLabs integration, utilizing sophisticated prompts with mathematical constraints for precise trailer generation. It also features comprehensive upload, indexing, and analysis pipelines. This creative automation tool meets the promotional content creation needs of event organizers, filmmakers, and content creators, significantly reducing manual video editing time from hours to mere minutes.

GitHub repo: xrhuang10/trailmixer, prestonty/Trailmixer-frontend

Devpost: TrailMixer