👁️ TracePixel

Unmasking Deepfakes, One Pixel at a Time.

🤔 What does TracePixel actually do?

Ever wondered if that viral video you saw on the internet is actually real or just a really good AI trick? That's exactly the problem TracePixel solves! 🕵️‍♂️

Simply drop any video into our app, and our smart AI engine scans it frame-by-frame to tell you if the video is 100% REAL or a cleverly disguised FAKE (Deepfake). No complex coding or technical jargon required—just upload, analyze, and find out the truth instantly!

✨ Features

• Easy to Use: Just drag, drop, and let the AI do the magic.
• Cyberpunk UI: A sleek, hacker-style, interactive frontend.
• API First: Robust and fast backend powered by FastAPI.
• Cloud Ready: Fully Dockerized and hosted live 24/7 on Hugging Face Spaces.

🛠️ Tech Stack

• AI & Backend: Python, FastAPI, Uvicorn
• Frontend: HTML5, CSS3, Vanilla JavaScript
• Deployment: Docker, Hugging Face Spaces

💻 Run Locally (For Developers)

Want to run TracePixel on your own machine? It's simple with Docker!

1. Clone the repository:

   git clone [https://github.com/guptavansh21/TracePixel.git](https://github.com/guptavansh21/TracePixel.git)
   cd TracePixel