Deepfake Detection
Protect against manipulated media with advanced Deep learning technology
Upload Media for Analysis
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Supports JPG, PNG, MP4, WAV, MP3, FLAC (Max 20MB)
Media Analysis
Real-time deepfake detection results
Media Preview
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Analysis Results
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Analytics Dashboard
Monitor detection performance and statistics
Detection History
| # | File | Type | Verdict | Confidence | Time | Date |
|---|
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About This Service
Learn about our AI-powered deepfake detection technology
AI Model
EfficientNetB0 architecture trained on Forensic++ dataset for accurate binary classification of authentic vs. manipulated content.
Technology Stack
FastAPI backend with TensorFlow, modern responsive frontend, and real-time browser extension for comprehensive protection.
Ethics & Privacy
Designed to combat misinformation while respecting user privacy and promoting digital media literacy across platforms.
Transparency
Confidence scores and explainable AI processes help users understand detection decisions and build trust in results.
Meet Our Team
The experts behind our deepfake detection technology
Sushant Patil
Lead Developer
Specializes in computer vision and deep learning architectures for media forensics.
Anuj Waghmare
Data Scientist
Expert in machine learning model optimization and dataset curation for AI training.
Vilas Rathod
Backend Developer
Full-stack developer focused on scalable API design and cloud infrastructure.
Devraj Powar
UX Designer
Creates intuitive interfaces that make complex AI technology accessible to everyone.