InvisiHide - Secure Steganography Web Application

🌐 Live Demo

You can access the live version of the InvisiHide web application here.

🔍 Project Overview

InvisiHide is a web application designed for secure steganography, allowing users to embed and extract hidden text or images within cover images. The project ensures data privacy with password protection and a user-friendly interface. Built using React.js for the frontend and Python Flask for the backend, InvisiHide leverages OpenCV for image processing and NumPy for efficient data handling.

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🚀 Features

• 🔐 Password-protected embedding and extraction.
• 🖼️ Embed images within images.
• 📝 Embed text into images securely.
• 🧩 Extract hidden text or images with the correct password.
• 📂 Downloadable stego images and extracted content.
• ⚡ Real-time process feedback and error handling.
• 💡 Clean and intuitive user interface.

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💻 Technologies Used

Frontend:

• React.js – For building the user interface.
• Axios – For HTTP requests.
• CSS – For responsive UI design.

Backend:

• Python Flask – Server-side operations.
• OpenCV (cv2) – Image processing.
• NumPy – Efficient array handling.
• Werkzeug – Secure file handling.
• Flask-CORS – Cross-Origin Resource Sharing.

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⚙️ Installation and Setup

Backend (Python Flask):

1. Clone the repository:

   git clone https://github.com/pavanmahi/Invisi_Hide
   cd InvisiHide

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the Flask server:

   python app.py

Frontend (React.js):

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the React server:

   npm start

The application will be accessible at http://localhost:3000 with the Flask backend running on http://localhost:5000.

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🛠️ How to Use

🔒 Embedding Data

1. Select Embed Image in Image or Embed Text in Image.
2. Upload the cover image and hidden content.
3. Enter a password.
4. Click Embed to generate and download the stego image.

🔍 Extracting Data

1. Select Extract Hidden Data.
2. Upload the stego image.
3. Enter the correct password.
4. Download the extracted content after processing.

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🎯 Unique Features (WOW Factors)

• Comprehensive password protection.
• Real-time feedback during processes.
• Dual-mode steganography (text and image).
• Error handling for incorrect passwords and corrupted files.

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📂 requirements.txt

Flask==2.0.1
Flask-Cors==3.0.10
numpy==1.21.0
opencv-python==4.5.2.54
Werkzeug==2.0.1

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📞 Contact

For queries or contributions:

• 📧 Email: pavanbejawada4376@gmail.com

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🚀 InvisiHide: Where Security Meets Simplicity!