Limited Time Offer! Flat 80% OFF on all source code.

Offer Valid Till —

MACHINE-LEARNING Project

Deepfake Detection Final Year Project Source Code

Get runnable Deepfake Detection Final Year Project Source Code with database files, project setup instructions, live demo options and installation support. This project resource helps students understand the implementation, modules, workflow and technical architecture of a complete MACHINE-LEARNING project.

Deepfake Detection Final Year Project preview

Hover to zoom · Click to expand

What's Included in Your Download

  • Complete Source Code

    Runnable project code with frontend & backend.

  • Database Files

    SQL database file and required resources.

  • Setup Instructions

    Step-by-step README and project setup guide.

  • Configuration Files

    All configuration files and dependencies included.

  • Module Explanation

    Understand key modules and project workflow.

  • Setup & Demo Support

    Installation help and live demo where available.

Choose the Package That Fits You Best

Simple pricing. Instant access. Secure checkout.

01 Source Code Only

₹99

One-time Payment

  • Complete project source code
  • Database / data resources
  • Dependencies & configuration
  • README / setup guide
  • Instant download access
Download — ₹99
Recommended

02 Code + Setup Support

₹248

One-time Payment

  • Everything in Source Code plan
  • Remote setup assistance
  • Database & configuration setup
  • Run verification
  • Help via WhatsApp / Email
Download — ₹248

Project's Overview

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.

Login Credentials

Admin Account

  • Username: admin
  • Email: [email protected]
  • Password: admin123
  • Dashboard: http://localhost:5000/admin/dashboard

Recommended Test User

  • Username: john_doe
  • Password: user123

Project Features and Functionality

Live Demo Preview the working project.