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@article{199603,
        author = {Ayush wankhede and Sameer Jadhav and pankaj damale},
        title = {News Streaming Using LLM's to curate the best buisness article for investors},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {15688-15690},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199603},
        abstract = {This project presents a scalable, serverless pipeline for real-time extraction and summarization of financial news relevant to investors. Leveraging AWS Lambda, Playwright, and OpenAI's GPT models, the system scrapes Google News for hundreds of listed and unlisted companies, filters key headlines using AI-based relevance criteria, and generates professional, investor-focused summaries. The output is stored in structured CSV files on Amazon S3, enabling timely and actionable insights for financial analysts and decision-makers.},
        keywords = {AWS Lambda, Web Scraping, AI-driven News Curation, Serverless Architecture.},
        month = {April},
        }