A Deep Learning-based web application for deepfake video detection, powered by the Xception model and deployed via Railway.
DeepDeception uses a fine-tuned Xception (Extreme Inception) model to detect deepfakes from video uploads. The system is integrated into a Django-based web app with a clean user interface, a feedback submission form, and a backend database to store user feedback and email addresses.
-
Xception-based Deepfake Detection
Trained and tuned on real vs fake video data (DFDC Dataset) -
Django Web App Interface
Upload video files and get instant predictions -
Feedback System
Users can submit feedback and emails, which are stored in a secure database -
Deployed on Railway
Accessible online with scalable backend hosting
| Component | Technology |
|---|---|
| Deep Learning | Xception (Keras/TensorFlow) |
| Web Framework | Django (Python) |
| Frontend | HTML, CSS, Bootstrap |
| Database | SQLite / PostgreSQL (Railway) |
| Deployment | Railway |
| Video Handling | OpenCV, FFmpeg |
DeepDeception/ │
├── model/ # Xception model + inference code
├── webapp/ # Django project
│ ├── templates/
│ ├── static/
│ ├── views.py
│ ├── urls.py
│ └── models.py # Stores email + feedback
│
├── media/ # Uploaded videos (temp storage)
├── requirements.txt
└── README.md
Preview
- Clone the repository:
git clone https://github.com/YourUsername/DeepDeception.git
cd DeepDeception
pip install -r requirements.txt
python manage.py runserver
Feedback System
Users can submit feedback through the web interface.
Submitted feedback and email addresses are stored securely in the backend database.
Admins can view and manage feedback entries via the Django admin panel (if enabled).
Live Demo
Hosted on Railway
URL: [Insert your deployed Railway app link here]
Model Performance
Architecture: Xception (pretrained, fine-tuned)
Dataset: Deepfake Detection Challenge (DFDC)
Accuracy: ~94% on validation set
Input: Short video clips (MP4)
Output: Real / Fake classification with confidence score
Authors
Maheen Shaikh
email: maheenshkk@gmail.com
[@maheenshkk](https://github.com/maheenshkk)
AI/ML Engineer | Data Analytics | Computer Vision | NLP | Power BI | Python
Abdulrehman Qureshi
[crazy-scientistt](https://github.com/crazy-scientistt)
AI Researcher | Computer Vision & Web Systems