Smith Dcunha@smith_dcunha15

AI Video Caption Studio is an AI-powered web application that automatically generates engaging captions for short-form videos. Instead of spending time thinking of the perfect caption, creators simply upload a video or provide a video URL, and the platform produces multiple high-quality caption styles within seconds. The application processes uploaded videos by extracting representative frames and analyzing them using an advanced multimodal vision model. The extracted visual context is then combined with a powerful language model to generate captions tailored for different audiences and platforms. Users receive multiple caption variations, including Neutral, Formal, Sarcastic, Humorous (Tech), and Humorous (Non-Tech), allowing them to choose the style that best fits their content. The project follows a modern full-stack architecture with a React frontend built using TanStack Start and Vite, while the backend is developed using FastAPI. Video uploads, processing, and AI inference are handled efficiently through a scalable REST API. The application is fully containerized using Docker, making deployment consistent across development and production environments. The frontend is deployed on Vercel, and the backend is hosted on Render, ensuring a seamless cloud-native deployment. Key features include: • Upload videos directly or provide video URLs. • Automatic frame extraction and visual scene understanding. • AI-generated captions in multiple writing styles. • Fast, responsive, and intuitive user interface. • REST API backend for scalable processing. • Dockerized deployment for portability. • Cloud-hosted production deployment. This project demonstrates how multimodal AI can simplify content creation by combining computer vision with natural language generation. It helps content creators, marketers, educators, and businesses quickly produce engaging captions for social media platforms, reducing manual effort while improving creativity and consistency.

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