AI Decoy With Persistent Memory Wastes Time of Digital Arrest Scammers

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A developer built ScamSathi, an AI decoy that poses as a 72-year-old retired schoolteacher named Ajji to waste the time of 'digital arrest' scammers. Digital arrest scams reportedly cost Indians over ₹1,900 crore in 2024, typically involving fake CBI or customs officials, fabricated case numbers and warrants, and demands for transfers to UPI accounts. The system extracts identifiers such as phone numbers, UPI IDs, case numbers and claimed agencies from each scammer message and stores them in SQLite alongside a memory layer. Unlike memory-less scambait bots that restart with each call, ScamSathi recalls earlier conversations so it can catch inconsistencies, such as a caller who previously claimed to be from Income Tax now claiming to be from the CBI. The developer confirms these contradictions with exact SQL checks on the stored identifiers rather than relying only on semantic recall.

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