ObscuraMask

ObscuraMask is a Generative AI-powered data masking and encryption tool that helps users protect sensitive data in CSV, Excel, PDF, and text files. It offers two key features: data obfuscation/redaction and secure file encryption/decryption for safe sharing.

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🚀 Features

• 🔒 Data Masking – Mask sensitive information in CSV, Excel, PDF, and text files using redaction or obfuscation.
• 🔐 File Encryption/Decryption – Encrypt files before sending and decrypt received files securely.
• ⚙️ Supports Multiple Formats – Works seamlessly with CSV, Excel, PDF, and plain text files.
• 🤖 AI-Powered Masking – Uses Generative AI for intelligent data obfuscation while maintaining usability.
• 🔑 Secure File Transfer – Users can encrypt files before sharing and decrypt them upon receipt.

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🏗 Tech Stack

• Frontend: Next.js
• Backend: Python
• AI: Generative AI models for masking
• Encryption: AES-256 or equivalent strong encryption

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📌 Installation Guide

Prerequisites

• Node.js
• Python 3.x
• Python packages listed in requirements.txt

Setup Instructions

1. Clone the repository:

   git clone https://github.com/your-username/obscuramask.git
   cd obscuramask

2. Install frontend dependencies:

   cd client
   npm install

3. Install backend dependencies:

   cd ../server
   pip install -r requirements.txt

4. Configure environment variables: Create .env files in server directories with necessary keys.

   GOOGLE_API_KEY=your_gemini_api_key_here
   

5. Start the backend server:

   cd ../server
   python app.py

6. Start the frontend development server:

   cd ../client
   npm run dev

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📂 Repository Structure

obscuramask/
│── client/                 # Next.js frontend application
│── server/                 # Python backend server
│── .gitignore             # Git ignore rules
│── LICENSE                # LICENSE
│── README.md              # Project documentation

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🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

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📜 License

This project is licensed under the Apache License 2.0

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⭐ If you find this project useful, please give it a star on GitHub!