@mdrumaan1234545642

Video Captioner V2 is a 5-stage AI pipeline that generates accurate, multi-style captions for silent videos by analyzing visual content with Gemma 4 31B vision model. The Problem: Most captioning tools rely on audio transcription, which fails for silent videos. Track 2 requires describing what's IN the video visually. Our Solution: - Stage 1: Adaptive Frame Extraction (9-15 frames based on duration) - Stage 2: Vision Analysis with Gemma 4 31B - Stage 3: Frame-to-frame comparison for scene changes - Stage 4: Thinking Board documentation - Stage 5: Caption generation + scoring + re-generation for quality Caption Styles: Formal, Sarcastic, Humorous-Tech, Humorous-NonTech Results: 6/6 videos processed, 97s average, auto-scoring ensures quality.

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