This project is an implementation of an image authentication scheme using blockchain and Merkle tree mechanisms, developed in Rust. It is based on the research paper "An Image Authentication Scheme Using Merkle Tree Mechanisms" by Gaurav Malav and A. K. Sarje, published in Future Internet.

An advanced AI-powered fake news detection system that verifies text, images, and social media posts using Gemini AI, FastAPI, and Next.js. Includes a modern web interface, a lightweight Streamlit app, and a Chrome extension for real-time fake content detection. Built to combat misinformation with explainable AI results and contextual source links.

GraphAuth is an innovative authentication system that replaces text-based passwords with a randomized graphical pattern selection. It incorporates OTP multi-factor authentication and brute-force protection with account lockout, ensuring robust security and an exceptionally user-friendly experience.

System that authenticates users via camera EXIF metadata and cryptographic signatures. Prevents image forgery and duplicate uploads using RSA+AES hybrid encryption. Includes telephone-based login and admin verification.

Java Web Application J2EE

Imagine Hashing embeds cryptographic hashes into images using steganography and SHA256 to ensure authenticity, integrity, and resilience against tampering or manipulation.

Watermarking System | AI-Generated Media Detection A system for detecting and flagging AI-generated images using ML and steganography. Ensures authenticity with imperceptible, resilient watermarks embedded at creation.

Imagine Hashing embeds cryptographic hashes into images using steganography and SHA256 to ensure authenticity, integrity, and resilience against tampering or manipulation.

Robust and Decentralized Image Authentication System