AI Powered web video editor

🧠 About the Project: AI-Powered Web Video Editor

🚀 Inspiration

Creating high-quality videos often requires complex tools, long editing hours, and technical skills. We wanted to simplify this process — allowing anyone, from beginners to creators, to produce professional-grade videos effortlessly. Inspired by tools like Descript and Runway, we aimed to build an intuitive AI-powered video editor that works directly in the browser.

⚙️ How We Built It

Our stack combines modern web technologies and AI models:

• Frontend: React + Tailwind CSS for responsive, sleek UI.
• Backend: Node.js with Express for managing video uploads and API endpoints.
• AI Layer: OpenAI + Whisper for transcript generation, and custom ML models for smart scene detection and auto-cuts.
• Cloud Services: AWS S3 for video storage and FFmpeg for real-time rendering and trimming.

We implemented an algorithm for automated video cutting, which minimizes user effort: [ E(t) = \sum_{i=1}^{n} |S_i - T_i| ] where ( S_i ) and ( T_i ) are source and target scene timestamps — optimized to reduce total edit time.

📚 What We Learned

• How to integrate AI APIs seamlessly into a web-based workflow.
• The importance of UX-first design in creative tools.
• Efficient handling of large media files in the browser without performance loss.

🧩 Challenges Faced

• Processing high-resolution videos without overloading the client’s system.
• Achieving smooth real-time previews during edits.
• Balancing AI accuracy vs. user control — ensuring automation doesn’t compromise creativity.

🌟 Outcome

The result is a fast, intelligent, and accessible video editor that empowers anyone to tell their story — visually and effortlessly.

Built With

• html5