CyberSathi AI is an AI-powered cybersecurity and digital safety platform designed to protect individuals from the rapidly growing threat of online fraud and cybercrime. With the increasing use of digital payments, online banking, social media, and messaging platforms such as WhatsApp and Telegram, cybercriminals are constantly finding new ways to deceive users. Every day, thousands of people lose money through phishing attacks, fake investment schemes, UPI payment fraud, QR code scams, digital arrest scams, job scams, and fraudulent websites. Many victims are unable to recognize these threats until it is too late. CyberSathi AI aims to prevent these incidents by providing real-time fraud detection, intelligent risk analysis, and instant user guidance.

The platform uses Artificial Intelligence and Machine Learning to analyze suspicious messages, links, websites, payment requests, and investment offers. When a user receives a suspicious Telegram message promising guaranteed profits, a phishing email requesting banking credentials, or a fake UPI payment request, CyberSathi AI evaluates the content using AI models trained to identify common scam patterns. Instead of simply blocking content, the platform explains why it is dangerous, helping users understand the risks and make informed decisions.

One of the platform's key features is its AI Scam Detection Engine, which identifies phishing links, fake websites, investment scams, fake job offers, and social engineering attacks. Users can paste a message, upload a screenshot, or scan a QR code, and the AI instantly generates a fraud risk score along with a clear explanation of the detected threats. This enables users to avoid scams before making payments or sharing personal information.

CyberSathi AI also includes a Community Scam Reporting System where users can report suspicious phone numbers, Telegram usernames, UPI IDs, websites, and fraudulent messages. The reports contribute to a growing database of known scams, allowing other users to search and verify whether a sender or payment request has already been reported. This collaborative approach strengthens digital safety through shared awareness.

Built With

Share this project:

Updates