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ARGUS Obsidian 🔐

The Invisible Layer Between Your Data and AI


🚀 Overview

ARGUS Obsidian is a privacy-first AI interface designed to protect sensitive user data before it is processed by AI models.

As AI tools become a daily utility, users unknowingly expose personal and confidential information such as emails, phone numbers, and internal documents. ARGUS solves this by acting as a protective layer that ensures safe interaction with AI systems.


🧠 Problem

Most users:

  • Paste sensitive data into AI tools without awareness
  • Have little understanding of data privacy risks
  • Rely on platforms that may store or process their inputs

This creates a serious gap between AI convenience and data security.


💡 Solution

ARGUS introduces an automated privacy pipeline:

Input → Detect → Mask → Process → Restore

  • Detects sensitive data in real time
  • Replaces it with secure placeholders
  • Sends only anonymized data to AI
  • Restores original information in the final output

This ensures zero direct exposure of sensitive data to AI systems.


⚙️ How It Works

  1. Input User provides text (email, document, message)

  2. Detection Engine Identifies sensitive data:

    • Emails
    • Phone numbers
  3. Masking Engine Converts:

    [email protected] → [EMAIL_1]

  4. AI Processing Masked input is sent to AI safely

  5. Restoration Engine

    [EMAIL_1] → [email protected]

  6. Output User receives improved content with original data restored


✨ Features

  • 🔍 Real-time sensitive data detection
  • 🛡️ Automatic masking & restoration
  • 📊 Privacy risk indicator (Low / Medium / High)
  • ⚡ Clean, modern, and intuitive UI
  • 🔐 No permanent data storage

🖥️ Tech Stack

  • Frontend: HTML, CSS, JavaScript
  • Backend: Node.js (Express) (in progress)
  • AI Integration: OpenAI / Gemini (planned)

🧪 Example

Input:

My email is [email protected]

Masked:

My email is [EMAIL_1]

Output:

Dear Sir/Madam, my email is [email protected]. I would like to...


📊 Current Status

  • ✅ UI completed (ARGUS Obsidian interface)
  • ✅ Core masking logic implemented
  • 🚧 Backend & AI integration in progress

🎯 Target Users

  • Students using AI for resumes and assignments
  • Freelancers handling client communication
  • Small businesses managing customer data
  • Everyday users interacting with AI tools

🔮 Vision

To become the default privacy layer for AI interaction, enabling safe, secure, and seamless use of AI across:

  • Web applications
  • Browser extensions
  • Developer APIs
  • Enterprise systems

🤝 Contributors

  • Harsh Gosavi
  • Aman Rane
  • Team ARGUS

⚠️ Privacy Commitment

ARGUS does not store user data. All processing is temporary and designed with privacy as the top priority.


⭐ Why ARGUS Matters

«If AI is going to see everything, we must decide what it is allowed to see.»


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  • Python 20.9%
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