ScamShield AI is an explainable scam-pattern analysis prototype developed for ForgeHacks Online 2026.
The project aims to help users recognize suspicious patterns in digital financial communications by identifying warning signs such as impersonation, urgency, requests for sensitive information, and risky payment instructions.
Key features include message analysis, scam journey visualization, simulated alert intelligence, an interactive scenario lab, and a dedicated privacy and methodology section.
Built using React, TypeScript, and Vite, the prototype focuses on making scam-related risks easier to understand through transparent, rule-based analysis.
Live Demo: https://scam-shield-e5eklmiu9-zyntra8.vercel.app Demo Video: https://vimeo.com/1234621736 GitHub Repository: https://github.com/abarnababu27/Scam_Shield_AI
ScamShield AI is an early-stage prototype evaluated using synthetic examples. Future development will focus on broader testing, improved detection capabilities, and responsible enhancements to digital scam awareness.
Our vision is to help people recognize suspicious patterns, understand potential risks, and verify before they act.
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