Long-Form Article and Podcast Summarization Tool

Added Jun 2025 3 design docs

The volume of worthwhile long-form content, from investigative articles to hour-long podcasts, has outgrown anyone's time to consume it. Media companies and busy professionals alike need trustworthy summarization that preserves the substance and nuance of the original, not just a restated headline. The intern builds a summarization tool in Python and React where users paste a URL or upload a file and generative AI produces concise, faithful summaries. The pipeline handles content extraction from web pages and transcripts, applies NLP preprocessing to segment long documents into coherent sections, and uses chunked summarization strategies so even hour-long material yields a summary that hangs together. Users choose their summary depth, from a one-paragraph brief to a structured digest, and the interface presents results alongside the source material so spot-checking claims is easy. The intern also evaluates summary quality systematically, comparing outputs against sources for coverage and accuracy rather than trusting them on style. The project teaches the practical craft of production NLP with generative models: long-document handling, prompt strategies for faithfulness, and building an interface that keeps human verification effortless.

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