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BSc Project Report

BSc Deepfake Detection Final Year Project Report

Get structured BSc Deepfake Detection Final Year Project Report Final Year Project Report and Documentation with project objectives, methodology, system design, diagrams, implementation details, testing and complete project explanations. Suitable as a learning, documentation and project-presentation resource for students working on related final year projects.

What's Included in Your Report

  • Complete Report

    Full documentation in PDF and Word format.

  • UML & Diagrams

    ER, DFD, sequence, architecture and more.

  • Plagiarism-Free Content

    Original, project-specific content.

  • Screenshots

    Output screens included.

  • Test Cases

    Testing chapter included.

  • Viva Preparation

    Structured for review and editing .

Choose the Report Package That Fits You Best

Simple pricing. Instant access. Every package includes PDF & Word format.

01 Project Synopsis

₹49

One-time Payment

  • PDF & Word Formats
  • Project Introduction & Objectives
  • Problem Statement & Methodology
  • System Architecture Diagram included
  • Structured for Review & Customization
Download — ₹49
Best Value

02 Detailed Project Report

₹99

One-time Payment

  • PDF & Word Formats
  • Structured Project Chapters
  • UML / DFD / Technical Diagrams
  • Methodology, Implementation & Testing
  • Structured chapters & technical diagrams
Download — ₹99

03 Customized Project Report

₹149

One-time Payment

  • PDF & Word both included
  • Customized to your college documentation format
  • Project-specific customized documentation
  • Structured chapters & technical diagrams
  • Delivery within 24-48 hours
Buy — ₹149

04 Customized Plagiarism-Free Report

₹299

One-time Payment

  • PDF & Word both included
  • Plagiarism-free project content
  • Original & project-specific writing
  • Clear, natural & readable documentation
  • Delivery within 24-48 hours
Buy — ₹299

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