Static educational guide Scam Signals

About this project

A static educational resource designed for clarity and future expansion

This project demonstrates how a privacy-safe anti-scam website can be built around reusable components and structured content rather than one-off page code.

Educational purpose

The site focuses on patterns, warning signs, and protective habits rather than accusations about specific real-world individuals.

Anonymized reconstruction

Example cases are fictionalized composites that remove personal details, identifiable screenshots, and direct source references.

Static-first architecture

All pages are generated at build time with Astro, TypeScript, and Tailwind CSS for simple, privacy-respecting deployment.

Extensible structure

New case studies can be added through content files so the library can grow without reworking page layouts or reusable UI components.