news-intelligence

AI-powered news intelligence with 8 Vertex AI agents monitoring 50+ sources. Real-time executive dashboard, daily briefs, and smart alerts. Built on Firebase + A2A protocol.

Full-stack admin dashboard for AI-powered news intelligence workspaces. Manage customer environments, configure news feeds, monitor content pipelines, and generate intelligence reports with source attribution and relevance scoring. Built with React, FastAPI, PostgreSQL, Redis, and Celery.

FeedRay is a Python/FastAPI news intelligence service that crawls RSS sources, analyzes article topics and entities, clusters related articles into evolving events, builds timelines, and recommends fresh stories.

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

🦞 IntelliClaw: configurable multi-topic news and event intelligence pipeline with scoring, cross-checking, and dispatch

AI-powered Arabic news intelligence platform with automated scraping, fine-tuned LLM analysis, RAG-powered conversational search, article deep-dives, streaming FastAPI pipelines, multilingual translation, MongoDB, ChromaDB, LangGraph, and automated Telegram news digests.

News Intelligence is a highly scalable hybrid AI system combining vectorized ML for high-throughput stream filtering and LLM reasoning (Groq/Ollama) for contextual analysis. It auto-discovers RSS feeds, extracts structured event insights, geocodes addresses automatically, and renders interactive maps for real-time security intelligence.

Local headline signal scanner and news intelligence connector for OpenClaw agents.

Real-time financial news monitoring with Multi-Agent AI + RAG

Telegram userbot for high-signal news ingest - dedupe, severity routing, digests, OCR, and query assistant

Automated news monitoring and scenario-based valuation for listed-company research

Real-time narrative intelligence platform that clusters evolving news stories, detects contradictions across outlets, and tracks how stories mutate over time.