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Spam Detector AI

AI Machine Learning NLP
CSS Flask HTML JavaScript pandas Python sklearn Tailwind CSS

Description

A machine learning-powered web application that detects spam messages in real time. It uses a Naive Bayes model with CountVectorizer to classify text as spam or safe. Users can input messages to get instant analysis, complete with confidence levels, visual feedback, and an intuitive Tailwind CSS interface. Ideal for demonstrating NLP, AI, and web development skills.

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Project Features

Modern Design

Cutting-edge UI/UX

Responsive

Works on all devices

Secure

Enterprise-grade security

Support

24/7 customer support

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