@akshatsrivastav3871722

Our project generates four distinct, judge-ready captions for every fixed short video clip (30s–2min): formal, sarcastic, humorous-tech, and humorous-non-tech. Built on a Python + uv pipeline that calls Fireworks AI through its OpenAI-compatible API, it first extracts the audio and runs Whisper v3 Turbo for transcription (with automatic translation for non-English clips), then samples keyframes and describes them with a vision model. A captioner model then produces each style from a strictly grounded prompt that combines the transcript and the visual facts, keeping temperature low so captions never hallucinate events that aren't in the video maximizing the judge's accuracy score. Tone is enforced by four separate system prompts with few-shot examples, so each register stays unmistakable and free of style bleed maximizing the judge's tone score.

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.