Mamoun Yosef@mamoun_yosef

Multi-Style Video Captioner is an agent that turns any short clip into on brand captions across four requested styles: formal, sarcastic, humorous_tech, and humorous_non_tech. The pipeline samples representative frames across the whole clip with ffmpeg, spacing them by duration, downscaling for speed, and staying under the API payload limits. It then sends those frames to a vision language model (Qwen3 Plus via Fireworks AI) with a carefully engineered, per style system prompt and style specific sampling temperatures for the right balance of accuracy and tone. Every part is configurable: the model, the frame sampling, the per style temperatures, and an optional multi model ensemble with an LLM judge that merges the best candidate captions. A global rate throttle keeps it within API limits, and the whole project ships as a single linux/amd64 Docker image that reads /input/tasks.json and writes valid /output/results.json, mirroring the accuracy and style match evaluation rubric.

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.