Tuonchi/scam-guard

AI-Driven Digital Shield Against Financial and Employment Scams in Kenya # 🚨 ScamGuard: AI-Driven Digital Shield Against Financial and Employment Scams in Kenya ## 📌 Overview ScamGuard is an AI-powered web application built to protect Kenyans from the growing threat of digital scams—especially those targeting mobile money users and job seekers. By leveraging Natural Language Processing (NLP) and machine learning, ScamGuard analyzes suspicious messages and flags potential fraud in real time. Whether it's a fake job offer, a phishing link, or a deceptive payment request, ScamGuard helps users stay safe and informed. ## 🎯 Objectives - Detect and flag scam messages using AI - Empower users to make safer financial and employment decisions - Promote digital literacy and scam awareness - Support Kenya’s Digitization and TVET for Sustainable Development goals ## 🧠 Features - 🔍 **Real-Time Scam Detection**: Paste a message or upload a screenshot—ScamGuard instantly analyzes it for scam indicators. - 🧾 **Pattern Recognition**: Identifies common scam tactics like fake job offers, urgent payment requests, and suspicious links. - 📚 **Digital Literacy Hub**: Educates users on how scams work and how to avoid them. - 🌐 **Localized Protection**: Tailored to Kenya’s digital landscape, including M-Pesa and mobile banking platforms. ## 🛠️ Technologies Used - **Frontend**: HTML, CSS, JavaScript (React or Vue recommended) - **Backend**: Node.js / Python (Flask or Django) - **AI & NLP**: TensorFlow / Scikit-learn / spaCy - **Database**: MongoDB / PostgreSQL - **Cloud Hosting**: Firebase / Heroku / AWS ## 📈 How It Works 1. User inputs a suspicious message or uploads a screenshot. 2. NLP engine parses the text and matches it against known scam patterns. 3. Machine learning model assigns a risk score and flags potential threats. 4. ScamGuard displays results and educates the user on the scam type. ## 🧪 Sample Scam Patterns Detected | Pattern Type | Examples | |------------------------------|----------- …