Deepfake Images and Video Detection

A cutting-edge Deepfake Detection system that analyzes both videos and images to determine if content is REAL or FAKE.

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Table of Contents

- [Description](#description) - [Links](#links) - [Tech Stack](#tech-stack) - [Progress](#progress) - [Future Scope](#future-scope) - [Applications](#applications) - [Usage](#usage) - [Team Members](#team-members) - [Demo Video](#Demo) - [Screenshots](#screenshots)

Description Deepfake Unmasked is a deep learning-based system that detects whether a given video or image is real or fake. It uses advanced CNN models like Xception and InceptionV3, processes facial features, and provides accurate predictions through an interactive Gradio interface.

🔗Links

• GitHub Repository
• Link to File
• Drive Link to demo video
• Drive Link to Screenshots

🤖Tech-Stack

Languages

• Python

Deep Learning & Machine Learning

• TensorFlow 2.x
• Keras
• Scikit-learn

Data Handling & Processing

• NumPy
• Pandas

Visualization

• Matplotlib
• Plotly

Image Processing

• OpenCV (cv2)

Pretrained Model

• InceptionV3 (Part of TensorFlow Keras applications)
• Xception

Cloud & Data Storage

• Google Colab
• Kaggle

Deployment

• Gradio interface

📈Progress

Fully Implemented Features

1. Dataset Handling – Complete
2. Data Preprocessing – Complete
3. Image Processing – Complete
4. Feature Extraction – Complete
5. Dataset Creation – Complete
6. Visualization & Analysis – Complete
7. Model Architecture – Complete
8. Training Process – Complete
9. Optimize Model Performance – complete
10. Dual-Modality Detection - complete
11. Interactive Gradio Web Interface - complete

Partially Implemented Features

1. Mobile or Lightweight Deployment – Partial
2. Multi-face Handling in Single Frame – Partial
3. Website Deployment - partial

🔮Future Scope

3. Multi-face and Multi-object Detection
4. Mobile & Edge Deployment
5. Integration with Social Platforms or News Outlets
6. Fake Region Highlighting

💸Applications

1. Social Media Content Moderation
2. News and Journalism Verification
3. Legal and Forensic Investigations
4. Digital Identity Protection
5. Corporate Security & Reputation Management
6. Educational Tools and Media Literacy

👨‍💻Team Members

• Adivya