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Detect scams SMS and phishing links before they cause harm
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Google Docs - Detect scams SMS and phishing links before they cause harm

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ZeroFraud goes beyond traditional keyword filtering by combining machine learning, regex-based detection, threat intelligence, and risk scoring to analyze SMS messages in real time. It also features automated threat intelligence updates, an offline-capable admin dashboard, and a continuous feedback loop that improves detection accuracy over time.

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Hi everyone! I'm excited to introduce ZeroFruad. The idea came from seeing how many people continue to fall victim to SMS scams, phishing links, fake payment alerts, OTP theft, and mobile money fraud. Most solutions rely on simple keyword matching, but scammers constantly change their wording to bypass those filters. I wanted to build something that could adapt to these evolving tactics. Instead of relying on a single detection method, ZeroFraud combines machine learning, regex-based detection, threat intelligence, and a risk scoring engine to analyze messages from multiple perspectives before determining whether they're suspicious. Building ZeroFraud has been a great learning experience, combining cybersecurity, AI, backend development, and Android development into one project. One of the biggest challenges was balancing detection accuracy with minimizing false positives while keeping analysis fast enough for real-time use. This is still an evolving project, and I'm looking forward to learning from the Product Hunt community. If you have ideas, suggestions, or feedback, I'd genuinely appreciate hearing them. Thanks for checking it out!