AI-Powered Detection • 97% Accuracy

Detect Spam & Fake News with Artificial Intelligence

Advanced machine learning system that automatically classifies spam messages and identifies fake news articles with high accuracy. Protect yourself from misinformation and malicious content.

97%
Spam Detection Accuracy
Industry Leading
95%
Fake News Detection
Highly Accurate
3
Detection Modes
Auto-Detect Available
Privacy Focused
Real-Time Results
Continuously Improving

Powerful Features

Advanced AI capabilities designed to protect you from digital threats

Spam Detection

Identifies spam emails and SMS using Naive Bayes algorithm. Detects phishing attempts, fraudulent schemes, and malicious links.

Fake News Detection

Analyzes news articles using Logistic Regression to determine authenticity. Helps combat misinformation and verify source credibility.

Auto-Detection

Intelligently determines if content is a message or news article, then automatically routes to the appropriate detector.

Real-Time Analysis

Instant classification results with confidence scores. Get immediate feedback on text authenticity and safety.

High Accuracy

97% accuracy for spam detection and 95% for fake news. Trained on thousands of real-world examples.

Privacy Focused

Your text is processed securely and not stored. Complete privacy with no data retention policy.

Try the Detector

Enter any text message or news article to analyze

Try sample texts:

About This Project

This intelligent text classification system uses advanced machine learning algorithms to detect spam messages and identify fake news articles. Built with modern technologies including FastAPI, Next.js, React, and TypeScript, it demonstrates practical applications of Natural Language Processing (NLP) and AI.

Technology Stack

FastAPINext.jsReactTypeScriptTailwindCSSScikit-learnPandasNaive BayesLogistic Regression