FakeBuster is a powerful tool designed to detect and expose deepfakes, misinformation, and digital deception.
🕵♂ FakeBuster – Real-Time Deepfake & Fake News Detector
🧠 Description
FakeBuster is an AI-powered web platform designed to detect deepfakes and misinformation in real-time. With the rise of manipulated media and fake news, FakeBuster aims to empower users with a simple, effective tool to verify digital content. Whether it's a suspicious image, a trending video, or a controversial news article, FakeBuster provides instant analysis and authenticity reports to help users make informed decisions.
🎯 Key Capabilities
🖼 Deepfake Image Detection – Upload images and get manipulation probability using cutting-edge deepfake detection APIs.
🎞 Deepfake Video Detection – Analyze uploaded videos or video URLs to detect synthetic frames or tampered footage.
📰 Fake News Detection – Verify article text or links using advanced NLP models like DistilBERT and Hugging Face Transformers.
📊 Credibility Scoring – Return results with detailed authenticity scores and risk levels.
👨💻 Use Case
FakeBuster is ideal for:
Journalists verifying sources
Students conducting research
General users browsing the internet
Anyone trying to spot misinformation or deepfakes on social media
🏗 How It Works
User uploads an image/video or inputs article text/URL.
The backend forwards the data to relevant detection APIs.
Results are processed and returned to the frontend with verdicts such as:
✅ Real
❌ Fake
⚠ Biased/Manipulated
The user sees a risk indicator and detailed feedback.
🌐 Live Application (Coming Soon)
Frontend: [Vercel Deployment]
Backend: [Render/Railway Endpoint]