Safari extension for iPhone, iPad & Mac — automatic tracker removal, smart redirects, source credibility warnings (powered by CRED-1), and browser tweaks. 100% on-device, zero data collection. Universal purchase with iCloud sync.

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval

FailSafe: An autonomous fact-checking framework leveraging Multi-Agent LLMs and Structured Argumentation Graphs (SAG) to verify claims with deep-web retrieval and reasoning.

Code associated with the NAACL 2025 paper "COVE: COntext and VEracity prediction for out-of-context images"

This repository provides scripts and workflows for translating fact-checking datasets and automating claim classification using large language models (LLMs).

Code associated with the preprint: "M4FC: a Multimodal, , Multilingual, Multicultural, Multitask real-world Fact-Checking Dataset"

Tathya (तथ्य, "truth") is an Agentic fact-checking system that verifies claims using multiple sources including Google Search, DuckDuckGo, Wikidata, and news APIs. It provides structured analysis with confidence scores, detailed explanations, and transparent source attribution through a modern Streamlit interface and FastAPI backend.

TRINETRA — Intelligent Threat & Misinformation Detection Platform

OpenSiteTrust is an open, explainable, and reusable website scoring ecosystem

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.

🔍 ABCheckers 💬 is a data-driven project that analyzes Twitter discourse to uncover misinformation around 🇵🇭 inflation and the weakening peso, empowering users with contextual insights.

An Agentic AI system for Deepfake Detection & Media Authenticity Verification. Features autonomous model routing, an ensemble of 6 specialized neural networks, and advanced bias correction mechanisms.

Novel multimodal architecture for detecting such misinformation by explicitly modeling the consistency between visual content, textual claims, and external factual knowledge.

Adventure Guardian AI is a unified safety intelligence system designed to protect adventure travellers in India. It verifies trek information, analyzes health risks, and detects fraud using AI-powered vision, geodata, weather intelligence, and pattern analysis. By combining truth, health, and fraud assessments, it generates a single Verified Trek S

AI-powered fake news detection system using advanced NLP, fact verification, and source reliability analysis. Built with Next.js 14, featuring real-time credibility assessment, comprehensive RESTful API, and professional dark/light mode interface for combating misinformation.

Media Literacy System powered by AI - Analyze news for bias and manipulation.

A professional-grade forensic data recovery and analysis tool designed for digital forensics investigators, incident responders, and cybersecurity professionals.

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.

Fine-tuned roberta-base classifier on the LIAR dataset. Aaccepts multiple input types text, URLs, and PDFs and outputs a prediction with a confidence score. It also leverages google/flan-t5-base to generate explanations and uses an Agentic AI with LangGraph to orchestrate agents for planning, retrieval, execution, fallback, and reasoning.