📰 Python Google News scraper for headlines, summaries & sources. Media monitoring, trend analysis with proxy rotation & automated CSV export.

Matrix-based News Aggregation to Explore Media Bias

A Dashboard which can be utilised by the Financial Analysts to analyse the market trends and news.

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.

End-to-end NLP project with news scraping from major Colombian outlets. Includes preprocessing, topic classification (MLP, SVM, RF), sentiment analysis with BETO, and NER. Features interactive visualizations to explore trends, emotions, and key actors in Colombian media.

Curated real-time news feed endpoints powered by NewsDataHub API

A Python-powered news monitoring system that fetches real-time articles from newsdata.io API and indexes them into Elasticsearch. Features automated sentiment analysis, smart deduplication, and beautiful Kibana dashboards. Perfect for tracking news trends across topics and sources.

Data engineering project that builds a positive-news intelligence pipeline with GDELT, BigQuery, Bruin, Terraform, and Streamlit.

This project documents the development of a Python-based Forex trading algorithm that integrates technical indicators and news analytics to automate trading strategies on MetaTrader 5.

AI-powered constructive news intelligence platform built with Angular, .NET, and Python FastAPI that analyzes global news using NLP to surface stories with positive societal impact.

Search and analyze global news coverage and US television transcripts via the GDELT Project's real-time APIs via MCP. STDIO or Streamable HTTP.

A fully automated data pipeline that ingests financial news from Finnhub API, stores it in MongoDB Atlas, performs sentiment analysis, and loads results into PostgreSQL — orchestrated using Apache Airflow.

Smart Article Summarizer is a lightweight AI-powered web app that extracts and summarizes the content of any article from the internet. It uses newspaper3k for article parsing and a Large Language Model (LLM) via LangChain and OpenAI to generate concise summaries in natural language.

RESTful News Analytics Platform

Real-time news data pipeline built with Airflow, Kafka, PostgreSQL, Docker, and Streamlit for automated news ingestion and analytics.

Python notebook-driven workflow that fetches and processes news headlines for publicly traded companies, applies NLP and sentiment analysis to each headline, and then aligns those sentiment scores with historic stock-price data to explore whether positive or negative media coverage correlates with market movements.

A sophisticated, client-side RSS feed aggregator and AI-powered summarization tool that translates news articles into Arabic and generates comprehensive summaries using advanced language models. Built with privacy and security as core principles, this application runs entirely in your browser without requiring any backend infrastructure.

Tool for detecting bias towards entity/people in the news and highlight that to the reader in the form an attractive visualization

Inspired by *Managing real-time risks and returns: The Thomson Reuters NewsScope Event Indices*