Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.
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Updated
Jan 3, 2026 - Python
Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.
uBlacklist blacklist - Fake webstores - Blocks fake machine-translated web stores that only redirect you to AliExpress. I have added various domains mostly from .ee (Estonia) top-level domain and a few others, in total about 550 new domains so far.
"Spot-the-Fake-Quiz" is a web game where players must identify the counterfeit website among two images of the same brand. Each pair of images represents the real site and a fake one. Players have 15 seconds per pair to make their choice out of 10 questions. After completing all questions, they receive their total score.
A computer vision–based case study for detecting fake mobile banking receipts (BNI), developed as part of the Rukunin ecosystem.
This repository contains a comprehensive project on automatic image inpainting and detection of AI-based image modifications undertaken as the final project for the Summer term 2023 course High-Level Computer Vision at Saarland University.
sFRC: To detect hallucinated regions in medical images reconstructed using AI
Hoax News Detection Using Machine Learning And Flask Freamwork
PhotoLens is an AI platform for automated reality of photos inspection.
🎩 A comprehensive document authenticity verification tool with advanced image forensics and LLM-based text analysis.
DeepLabV3+ based network for fake faces detection
🔍 Advanced AI-powered image authenticity detector with real-time analysis, comprehensive accessibility, and production-ready deployment. Built with React, TypeScript, and Material-UI.
This project focuses on detecting fake content generated by language models. The domain for this project is scientist biographies, where real biographies were sourced from Wikipedia, and fake ones were generated using a fine-tuned GPT-2 model.
Instagram Fake account detection ML model using SciKit Learn
RESEARCHER CSE’27 | 7th Institutional Rank By @GFG | AI/ML for Geodata (IIRS, ISRO) | Research Intern @quickiscool & @bluequark | Proficient in C/C++, Java, Python, JS | Solved 250+ GFG & 100+ LeetCode Problems
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