 Build with Low-Code: Langflow Hack

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Avjo

Bharat-mtr

Aaryam_s

kunal

Our project, SOS.ai, aims to significantly reduce the response time for users facing scam calls and improve the Net Promoter Score (NPS). The solution targets scenarios such as the FedEx scam, where scammers impersonate FedEx employees and claim that a parcel containing illegal drugs, allegedly sent by the victim, needs to be reported. When the victim denies sending any parcel, the scammers instruct them to contact police officials, who are also part of the scam. These fake officials then convince the victim to transfer money, claiming their bank account is insecure and promising to return the money within 30 minutes. Once the victim agrees and shares their details, the scammers disappear.

In India alone, the FedEx scam has resulted in a loss of ₹120 Crores. Our hypothesis is that timely awareness and intervention could prevent many such incidents. SOS.ai aims to provide immediate assistance and awareness, potentially saving victims from falling prey to these scams and reducing financial losses.

The cyber helpline number (1930) is often busy, and reporting cyber crime is tedious. Our AI solution automates helpline support, raises scam awareness, and simplifies complaint filing, improving response times and user satisfaction.

"Avjo team on Build with Low-Code: Langflow Hack Hackathon"

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