SM
Sheby M
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Business Operations, Education · AI Agent, Web App, MVP
NewsAtlas AI – Agentic News & Research Aggregator
An agentic AI application that collects news and scientific articles from configured feeds, organizes them by keyword and topic, removes duplicates, and provides source-grounded summaries.
Stack and focus areas
ReactPythonAIFull StackOpenAI SDKAgentic AIFastAPINext.jsPostgreSQLNews APIsRSS FeedsResearch FeedsGoogle ScholarSemantic SearchDuplicate DetectionArticle SummarizationSource CitationsSaved SearchesDocumentationResearchProfessional Services
Project description
Researchers needed to monitor news publications and scientific feeds for selected keywords, but relevant articles were spread across numerous sources and often repeated the same development.
I developed an MVP using the OpenAI SDK and a set of specialized agents. Collection agents retrieve articles from approved feeds, processing agents extract metadata and remove duplicates, and analysis agents classify topics and create evidence-linked summaries. Users can search, filter, sort, save, and review articles through a lightweight interface. The architecture, prompts, agent responsibilities, and development process were documented as an educational case study.
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