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OmniGuard AI

A developer built OmniGuard AI, an open-source scam and phishing detection tool that lets users paste suspicious messages and receive an instant verdict with guidance on what to do next. The tool combines a custom rule engine in FastAPI with the OpenAI GPT API for human-readable threat explanations, supports 10 languages including Hindi and Marathi, and is deployed as a single Docker container on Render. It was created so the developer's parents and grandparents could check fake bank and UPI messages for free.

by read1 min views1 publishedOct 4, 2026

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend and Family What I Built

I built OmniGuard AI — a free tool that detects scams, phishing messages, and fake UPI requests.

I made it for my parents and grandparents. They keep getting fake WhatsApp messages like "Your bank account is blocked, click here." They never know if it's real. Now they just paste the message and OmniGuard AI tells them instantly — is it safe or a scam, and what to do next.

It works in 10 languages including Hindi and Marathi. 🇮🇳

Demo

🔗 https://kavach-web-2mkc.onrender.com Code

OmniGuard AI is an open-source fraud detection and cyber defense platform. It is designed to identify and neutralize social engineering attacks, phishing, and financial fraud across digital channels.

Features • Architecture • Installation • API • Contributing • License

How I Built It

Backend: FastAPI (Python) with a custom scam detection rule engine

AI: OpenAI GPT API for human-readable threat explanations

Frontend: React 19 + Vite with a message scanner, threat radar, practice mode, and downloadable threat report

Deployed on Render using Docker — single container serving both frontend and backend

Why Does Open Innovation Matter?

My family cannot afford a paid security product. With open source, I built something completely free that anyone in India can use. No subscriptions, no black box — you can see exactly why something was flagged, which builds trust with non-tech users.

Prize Categories

🏆 Render — Best Use of Render

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