aayushpaigwar / fake-nude-detection

A Fake Nude Detection System.

Fake Nude Detection System

The Fake Nude Detection System is a machine learning-based project that utilizes advanced image analysis techniques to classify images and generate nudity reports. This system allows users to upload images from their PCs or provide image URLs for analysis. Additionally, it offers a unique feature that enables users to search for images on Instagram using keywords or usernames, and then assess whether these images contain fake or explicit content.

Table of Contents

• Overview
• Features
• Getting Started
• Usage
• Technologies Used
• Contributing
• License

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Overview

In today's digital age, the proliferation of explicit and fake images poses serious concerns. The Fake Nude Detection System aims to address these issues by offering a reliable solution to detect and report potentially explicit or manipulated images. Leveraging the power of machine learning, this system analyzes images and provides insights into their content, helping users make informed decisions about the images they encounter.

Features

1. Image Classification

• Upload images from your PC to determine whether they contain explicit content or have been manipulated.

2. URL Analysis

• Analyze images hosted on external websites by providing their URLs.

3. Instagram Image Search

• Search for images on Instagram using keywords or usernames.
• Retrieve images associated with a specific hashtag or user profile.

4. Nudity Report

• Receive a comprehensive report on the content of analyzed images.
• Determine whether an image contains nudity or is potentially fake.
• Get the URL of each image for reference.

Getting Started

To get started with the Fake Nude Detection System, follow these steps:

1. Clone the Repository:

2. Install Dependencies:

3. Configure API Keys (if required): If the system uses external APIs (e.g., Instagram API), you will need to obtain API keys and configure them in the appropriate configuration file.

4. Run the Application:

5. Access the Application: Open a web browser and navigate to http://localhost:5000 to access the Fake Nude Detection System.

Usage

1. Image Classification:

• Click the "Upload Image" button to select an image from your PC.
• The system will analyze the image and provide a report on its content.

2. URL Analysis:

• Enter the URL of an image hosted on an external website.
• The system will fetch the image and provide an analysis report.

3. Instagram Image Search:

• Use the search feature to find images on Instagram.
• Get a report on the content of the retrieved images.

Technologies Used

• Python
• Flask (Web framework)
• Machine Learning API , We are working on Models (for image analysis)
• Instagram API (for image search, if applicable)

Contributing

Contributions to the Fake Nude Detection System are welcome. If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Make your changes and submit a pull request.

Tasks you could Contribute

1. Create a Visually appealing User Interface
2. Train a robust Nude Detection ML Model
3. Contribute to basic bug fixes and add interactivity

License

This project is licensed under the MIT License - see the LICENSE file for details.

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Thank you for using the Fake Nude Detection System!