I will build a scam and phishing detection web app in python flask

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aqsa_aziz726
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aqsa_aziz726
Aqsa Aziz
Parte de la información aparece en idioma inglés.

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ScamLens AI-Powered Scam Message & Link Checker Website

Are you looking for a ready-made, professional website that helps people detect scam messages, suspicious links, and phishing attempts? ScamLens is a fully functional web application that analyzes text messages and screenshots to detect common scam patterns like phishing, prize scams, job scams, and delivery scams all in real time.

With this gig, I will deliver the complete source code of ScamLens a modern, AI-powered scam detection tool with a clean, professional design and a smooth user experience. The website analyzes suspicious content and generates a clear risk score along with detailed warning signs, helping users understand exactly why a message might be dangerous before they click, reply, or share personal information.

What you get:

Complete, well-structured source code with a setup guide

AI-based scam and phishing message analyzer

Risk score system (0100) with detailed explanations

Screenshot upload and analysis feature

Detection for phishing, prize scams, job scams, and delivery scams

Clean, modern, fully responsive and mobile-friendly design

Optional custom branding your name, logo, and color scheme

Optional live de

Respeta los derechos de terceros

Recuerda que incluir temas, plantillas o cualquier otro elemento que viole los derechos de terceros o las leyes aplicables en los trabajos entregados va en contra de las políticas de Fiverr. Puedes ver más información en Guía para la creación digital responsable.

Conoce a Aqsa Aziz

Aqsa Aziz

Frontend Developer , Web Designer

  • DePakistán
  • Miembro desdeago 2026
  • Responde aprox. en:1 hora
  • Idiomas

    Inglés
I'm a BS Computer Science student with hands-on experience in Python, Flask, and web development. I build practical tools like security and scam-detection apps, data analysis dashboards, and full-stack websites. I recently completed an internship at SSGC working with data analysis and automation using Python.

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