kikikatg/tigrigna_fake_news_detection_using_NLP

Fake News Detection using Machine Learning with TF-IDF (Word & Character n-grams) and SVM, Naive Bayes, and Logistic Regression classifiers. Includes preprocessing for multilingual (Tigrigna & English) text and model evaluation with cross-validation. # Tigrigna Fake News Detection System ## Overview The Tigrigna Fake News Detection System is a full-stack AI-powered web application developed to classify Tigrigna news content as either **REAL** or **FAKE** using Natural Language Processing (NLP) and Machine Learning techniques. The project was developed as a final-year Computer Science and Engineering project with the goal of addressing misinformation challenges in low-resource languages such as Tigrigna. The system integrates a React frontend, FastAPI backend, and machine learning models to provide real-time fake news prediction and analysis. --- ## Key Features * Real-time fake news prediction * Machine learning-based text classification * Confidence score analysis * Risk-level indication * Prediction history management * Responsive frontend interface * REST API integration using FastAPI * SQLite database integration * Full-stack cloud deployment ======= An AI-powered full-stack web application for detecting fake news in the Tigrigna language using Natural Language Processing (NLP) and Machine Learning. --- # 📌 Project Overview The **Tigrigna Fake News Detection System** is a full-stack intelligent web application developed to automatically classify Tigrigna news content as either: - ✅ REAL - ❌ FAKE using **Natural Language Processing (NLP)** and **Machine Learning** techniques. The project was developed as a **final-year Computer Science and Engineering team project** to help combat misinformation in low-resource languages such as **Tigrigna**. --- ## Technologies Used ### Frontend * React.js * Vite * Axios * CSS ### Backend * FastAPI * Uvicorn * SQLAlchemy * Pydantic * SQLite ### Machine Learning & NLP * Scikit-learn * Pandas * NumPy * Joblib ======= - 📰 Real-time fake news prediction - 🤖 AI-powered text classification - 📊 Confidence score analysis - ⚠️ Risk-level indication - 🕒 Prediction history management - 🎨 Modern responsive React UI - ⚡ FastAPI backend API - ☁️ Full-stack deplo …