QuackVision AI: Multimodal Video Understanding

QuackVision AI is an AI-powered multimodal video understanding platform designed to transform raw videos into intelligent, platform-ready content. Instead of relying solely on video caption generation, our system first performs comprehensive multimodal analysis by extracting frames, identifying key scenes, converting speech into text using Faster Whisper, extracting on-screen text through OCR, and understanding the visual context of every scene. These multimodal outputs are organized into a structured timeline that represents the complete story of the video. At the core of QuackVision AI is Google's Gemma model, accessed through Fireworks AI. Rather than processing isolated images or transcripts, Gemma receives the complete structured multimodal context and performs high-level reasoning to understand the narrative, emotions, intent, and semantic meaning of the video. Based on this reasoning process, Gemma generates multiple platform-ready outputs including: • Formal Captions • Sarcastic Captions • Tech Captions • Meme Captions • AI Summary • SEO Keywords • Social Media Hashtags • Language Detection • Mood Analysis • Video Category • AI Confidence Score Users can export all generated insights as TXT, JSON, or PDF reports, making the platform suitable for content creators, marketing teams, educators, businesses, and social media professionals. The application is built using React for the frontend, FastAPI for the backend, Docker for containerization, Faster Whisper for speech recognition, EasyOCR for text extraction, computer vision for scene understanding, and Google's Gemma through Fireworks AI as the central multimodal reasoning engine. QuackVision AI demonstrates how multimodal AI and Gemma can work together to convert raw video content into meaningful, context-aware, and production-ready insights.