SecureScript-AI System

#devchallenge #muxchallenge #showandtell #video

Problem Statement

In today’s digital environment, confidential documents are often shared, stored, and accessed across multiple platforms—making them vulnerable to breaches, unauthorized access, and identity misuse.
Traditional security methods such as password-protected PDFs or basic encryption fall short because they lack multi-factor verification, don’t ensure document origin, and don’t prevent key theft.
There is an urgent need for an intelligent, automated, and end-to-end secure workflow that protects sensitive information from creation to access.

Why Agents?

Agents are the ideal solution because this workflow requires multiple intelligent components working together sequentially and autonomously:

A Document Generation Agent to create content with AI
An Encryption Agent to secure files using AES
A Steganography Agent to hide keys safely
A Biometric Verification Agent for face and voice authentication
A Security Orchestration Agent to coordinate OTP checks, decryption, and user access

These agents operate like a team — each handling a specialized task, communicating through context, and ensuring that the entire document lifecycle remains secure, automated, and tamper-proof.
This modular, multi-agent approach makes the system scalable, intelligent, and enterprise-ready.

What I Created (Architecture Overview)

SecureScript-AI System is an end-to-end secure document workflow agent consisting of:

AI Document Generator
Uses LLM to create text or images from user prompts.
AES-128 Encryption Agent
Encrypts documents into unreadable ciphertext.
Steganography Agent
Hides encryption keys inside clean or AI-generated images.
Biometric Verification Agent
Performs Face Recognition and Voice Authentication before granting access.
OTP Validation Module
Adds an extra layer of multi-factor authentication.
Decryption and Access Agent
Extracts keys and securely restores the original document.
Orchestration Layer (Streamlit Frontend)
Ties all modules together in a seamless enterprise workflow.

The result:
A secure, automated, AI-powered pipeline handling document creation, encryption, identity verification, and safe access.

Demo

AI document generation
Real-time AES encryption process
Steganography dashboard for hiding/retrieving keys
Face verification step
Voice authentication check
OTP validation
Final decryption and document access

The demo shows the entire document lifecycle — from generation to secure retrieval — in a clean, interactive Streamlit interface.

The Build (Tools & Technologies Used)

Programming & Frameworks
Python
Streamlit for UI
OpenCV for face recognition
Speech recognition for voice authentication
Security & Cryptography
AES-128 (Cryptography library)
Steganography (LSB-based techniques)
OTP Integration
AI Models
LLMs for text/image generation
Face embedding models
Voice biometric analysis
Architecture Components
Multi-agent workflow
Session management
Stateful encryption/decryption pipeline
Context-based agent communication
Each component acts as an autonomous agent, working together to ensure enterprise-level security.