JOBG
Launch legendsA career-readiness platform that helps students and aspiring developers prepare for roles in technology.
ScamShield
Analyses suspicious messages, screenshots, calls and app requests for scam indicators, explains the risks and gives immediate safety and recovery guidance.
The problem
We are solving the problem of helping people quickly identify potential scams and understand the right steps to stay safe or recover after an incident.
How it works
ScamShield is an AI-powered platform that analyzes suspicious messages, screenshots, calls, and app-related requests to identify potential scam indicators, explain the risks, and provide clear, immediate safety and recovery guidance.
Built with
As stated by the team.
We built ScamShield using Next.js, TypeScript, Tailwind CSS, and Python FastAPI, integrating our trained machine-learning scam detection model, OCR for screenshots, and curated official cyber-safety resources.
How Claude was used
Not documented in the submission.
Team
Merge Conflicts
Individual builders are not listed yet — names are published only with their permission.