Scam Checker
Privacy-first security tool that helps users spot online scams. It analyses text, emails, links, images, and files entirely client-side — no uploads, no tracking — and returns a weighted risk score with a breakdown of every flagged signal.
Built With
Project Timeline
Problem Identification
Mar 2024Tracked the rise in phishing and scam SMS targeting Australians. Mapped common scam patterns, red flags, and the gaps in existing detection tools.
Scam Pattern Database
Apr 2024Compiled an indicator library: urgency phrases, suspicious URL shapes, impersonation patterns, financial pressure tactics, and social-engineering markers.
Scoring Algorithm
May 2024Designed a weighted scoring system that surfaces a confidence score with a per-signal breakdown so users learn what to look for, not just whether to trust a message.
Core Checker Interface
Jun 2024Built the main checker with text input, real-time analysis, and visual risk indicators. All processing runs in the browser to preserve user privacy.
Multi-Input Support
Aug 2024Extended the checker to handle emails and URLs, with dedicated pages for each input type and tailored analysis rules.
Image & File Scanning
Sep 2024Added OCR-based image scanning and file upload support (PDF, DOCX, TXT) with size limits and client-side rate limiting.
SEO & Content Strategy
Nov 2024Wrote scam-awareness guides and how-to articles. Implemented FAQ schema and optimised pages for high-intent search queries.
Custom Domain & Branding
Dec 2024Registered scamchecker.app and rebranded from "Is It a Scam?" for cleaner search visibility. Full meta-tag and OG-image overhaul.
Global Reporting Directory
Jan 2025Added a directory of international reporting bodies and a contact/disclaimer page for compliance.
Analytics & Growth
Feb 2025Wired up Google Analytics, monitored organic-traffic growth, and expanded the educational guide library based on top search queries.