FakeBuster AI

🕵‍♂ 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]