{"repo":"hoangsonww/Spot-the-Scam-AI-Job-Fraud","free":true,"listed":false,"github":"https://github.com/hoangsonww/Spot-the-Scam-AI-Job-Fraud","clone":"git clone https://github.com/hoangsonww/Spot-the-Scam-AI-Job-Fraud.git","description":"🎒 An AI/ML-powered, full-stack job-posting fraud copilot delivering calibrated risk scores, natural-language rationales, interactive chatbot, and real-time insights - powered by ONNX/MLflow exports, classical + transformer ensembles, quantization, Optuna hyperparameter tuning, Google AI LLM, and a sleek Next.js dashboard.","language":"Python","stars":14,"topics":["artificial-intelligence","docker","fastapi","gradient-boosting","jupyter-notebook","light-gradient-boosting-machine","lightgbm","machine-learning","mlflow","nextjs"],"license":"MIT","category":"machine-learning","readme_excerpt":"Spot the Scam - AI Job Fraud Detection Spot the Scam is a full-stack, uncertainty-aware fraud detector for job postings. It combines calibrated classical ML, optional transformer fine-tuning, explainable outputs, and a human-in-the-loop review queue so teams can act fast with confidence. Table of Contents - Executive Overview - Design Goals and Principles - Current Model Snapshot (Repo-Grounded) - End-to-End System Flow - Quickstart - Common Workflows - Data Sources, Fields, and Footprint - Feature Engineering and Signals - Model Stack, Calibration, and Decision Policy - Artifacts, Reports, and Tracking - API Surface and Contracts - Frontend Experience (Next.js) - AI Chat Assistant Routing - MLOps, Packaging, and Deployment Surfaces - Multi-Cloud Deployment Packs - Reproducibility and Experiment Hygiene - Repository Map - Documentation Map - Limitations and Responsible Use - FAQ - License and Citation Executive Overview This repository is not just a model. It is a complete fraud-detection system with: - Offline training produces a clear artifact contract under artifacts/ . - Online serving loads those artifacts through FraudPredictor . - A FastAPI service exposes predictions, insights, review queues, and chat. - A Next.js dashboard provides scoring, review, and AI-assisted analysis. - A review loop logs predictions, captures feedback, and supports retraining with overrides. Design Goals and Principles The architecture reflects operational realities of trust and safety workflo","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/Spot-the-Scam-AI-Job-Fraud/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}