ScamShield

A security-focused web application that helps users identify and report online scams, phishing attempts, and fraudulent activities — protecting everyday users from digital threats.

Project Overview

Scam Detection

Pattern recognition system that analyzes URLs, messages, and email content to flag potential scam attempts.

Report System

Users can report suspicious links or messages, which get logged and analyzed to build a community threat database.

Awareness Hub

Educational section explaining common scam types — phishing, smishing, vishing — with real examples and prevention tips.

Real-Time Alerts

Instant risk assessment when a user submits a URL or message — displays a safety score with detailed reasoning.

Project Report

Fully documented with a 70+ page formal academic project report including system design, flowcharts, and testing.

Responsive Design

Fully responsive UI that works seamlessly across desktop, tablet, and mobile devices.

Tech Stack

Frontend

HTML5, CSS3, JavaScript — clean responsive UI with a security-themed dark design and intuitive navigation.

Backend

Python Flask — handles URL analysis, report submissions, user sessions, and API routing.

Database

SQLite — stores reported scams, user submissions, and analysis history for pattern tracking.

Security Layer

Input sanitization, CSRF protection, and secure session handling to keep the platform itself safe from attacks.

Tools & Technologies

HTML5 CSS3 JavaScript Python Flask SQLite Security GitHub

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