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Technical Project
ScamShield AI
AI-Powered Scam & Threat Detection Engine
AI & Security
Python
FastAPI
Scikit-learn
React
Vite
JavaScript
CSS
HTML
Project Overview
ScamShield AI is a full-stack cybersecurity tool that applies machine learning to identify scam attempts across different input types — URLs, text messages, and screenshots. The backend uses Python with FastAPI and a Scikit-learn classification model to analyse input and compute risk scores with breakdowns. The frontend is built with React 18 and Vite, providing a clean interface for submitting inputs and viewing threat analysis results. This project demonstrates applied machine learning for practical cybersecurity use cases.
Key Features
- Multi-input analysis: URLs, text messages, and screenshots
- ML-based scam classification and risk scoring
- Detailed risk breakdown and threat category output
- FastAPI REST backend for inference requests
- React 18 + Vite frontend with results visualisation
Screenshots
Screenshots will be added soon.
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