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- Complete project source code
- Database / data resources
- Dependencies & configuration
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Complete final-year project source code with frontend, backend, database and setup documentation. Instant download after secure payment.
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01 Source Code Only
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02 Code + Setup Support
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Deepfake Detection Final Year Project is a Python Flask based final year project developed for detecting fake videos and images using frequency-domain analysis and transformer-based machine learning. This major project includes a public landing page, user panel, and admin panel. Users can register, log in, upload videos, upload images, submit media for deepfake detection, view real/fake classification results, check confidence scores, review frame-level analysis, analyze frequency patterns, download PDF detection reports, manage profile, change password, submit feedback, and contact support. Admins can manage users, uploaded videos, detection requests, detection results, video categories, dataset records, ML settings, model training, system logs, login history, upload history, detection history, feedback, contact queries, daily reports, and monthly reports. This deepfake detection source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, Flask, PyTorch, computer vision, and machine learning.
Admin Account
admin[email protected]admin123http://localhost:5000/admin/dashboardRecommended Test User
john_doeuser123Open project folder:
cd "Deepfake Detection Using Frequency-Domain and Transformer Models"
Create virtual environment on Windows:
python -m venv venv
venv\Scripts\activate
Create virtual environment on Linux/macOS:
python3 -m venv venv
source venv/bin/activate
Install dependencies:
pip install -r requirements.txt
Seed the database:
python seed.py
Run the application:
python run.py
Open home page:
http://localhost:5000/
Open login page:
http://localhost:5000/auth/login
Open register page:
http://localhost:5000/auth/register
http://localhost:5000/user/dashboard
http://localhost:5000/admin/dashboard
Admin Account
admin[email protected]admin123http://localhost:5000/admin/dashboardRecommended Test User
john_doeuser123