Muhammad Shoaib@shoaib2545

StyleFrame Agent is a containerized video-captioning system built for the AMD Developer Hackathon Track 2 challenge. The agent reads tasks from an input JSON file, downloads each video, extracts representative frames with FFmpeg, analyzes the visual content using a vision-language model, and generates captions tailored to the requested styles. It supports multiple caption tones, including formal, sarcastic, humorous technical, and humorous non-technical outputs. The system is designed to be robust against inconsistent model responses by cleaning scene summaries, validating generated captions, and using safe fallback logic when needed. The project focuses on accurate video understanding, style alignment, reliable JSON output, and Docker-based reproducibility for automated evaluation environments.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.