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A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web app for real-time credibility analysis. Dataset adapted from Kaggle’s Fake and Real News Dataset.
ANPS-TradeMeUp is an LLM-powered AI News Prediction System for short-to-medium term market forecasting, featuring real-time analysis and a Dash-based monitoring dashboard.
This repository contains a Python script that performs sentiment analysis on news articles related to Binance Coin (BNB). It fetches news articles from the CryptoCompare API and utilizes the Groq AI language model to analyze the sentiment of each article's title and body. The script classifies the sentiment as positive, negative, or neutral, and th
An auto-refreshing dataset of major news domains and their X (formerly Twitter) accounts, complete with real-time stats like follower counts and engagement metrics. Made for tracking media trends and analytics at scale.
Train a model to categorize news articles, scrape and translate articles, and predict their categories using TensorFlow, Keras, and Google Translate API.