An AI-powered job scam detector that audits listings, validates URL safety, checks company registrations, and analyzes recruiter signals to calculate a real-time trust score.
Local, explainable OSINT checker and multilingual research dataset for detecting job, task, reshipping, money-mule and investment scams without paid APIs or cloud AI
Explainable ML/NLP system that detects fraudulent job postings. Trains and compares 6 models (Logistic Regression, Naive Bayes, Decision Tree, Random Forest, XGBoost) on the EMSCAD dataset, explains predictions with SHAP, and serves them through a FastAPI backend + React dashboard with model comparison and prediction history.
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AI-powered public cyber safety platform for analyzing suspicious messages, fake job offers, and unsafe links with explainable risk insights and safe action guidance.
An adaptive multisignal job fraud detection system that detects fake job and internship scams by analyzing message text using 11 fraud signals, semantic embeddings, and a self-organizing scam cluster database. It returns a 0–100 risk score with plain-English explanations, and a Chrome extension brings detection directly into browser.
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