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structured-data-output

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chigwell / fundingextractor

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A new package that processes news headlines and extracts structured information about company funding events, such as startup names, valuation amounts, and funding rounds, using pattern matching to en

natural-language-processing pattern-matching information-extraction business-intelligence regular-expressions text-parsing api-integration entity-recognition automated-data-collection financial-data-mining structured-data-output news-headline-processing company-funding-events startup-name-identification valuation-amount-extraction funding-round-detection consistent-extraction accurate-data-extraction scalable-processing
  • Updated Dec 21, 2025
  • Python

chigwell / techsummly

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A new package designed to facilitate structured and reliable interactions with language models for analyzing and summarizing technical discussions. Given a detailed description or excerpt of a technic

natural-language-processing pattern-matching consistency-checking data-driven-insights issue-detection insight-generation ai-powered-analysis retry-mechanisms structured-data-output automated-auditing structured-summarization key-point-identification language-model-interaction technical-discussion-analysis reliable-information-extraction predefined-format-adherence clarity-guarantee technical-narrative-processing
  • Updated Dec 21, 2025
  • Python

chigwell / finwell-analyzer

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A new package designed to analyze user-submitted texts related to financial well-being by employing language models and pattern matching. The package processes the input to identify key sentiments, th

sentiment-analysis pattern-matching text-analysis language-models thematic-analysis financial-well-being structured-data-output affordability-perception financial-status-insights young-adults-financial-sentiment emotional-tone-detection summarized-opinions categorized-reasons public-sentiment-analysis economic-perception-insights user-generated-content-ugc-processing non-technical-data-interpretation targeted-interventions financial-research-support content-creation-framework
  • Updated Dec 21, 2025
  • Python

chigwell / pharma-globex

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A new package designed to analyze input texts related to global pharmaceutical trends, such as India's role in manufacturing generics, and generate structured summaries or insights. It leverages struc

natural-language-processing retry-mechanism policy-impact-assessment structured-data-output structured-summarization pharmaceutical-trend-analysis global-pharma-insights generic-drug-manufacturing india-pharma-role pattern-matching-extraction key-point-identification informationrich-reporting decisionmaking-support robust-extraction phrase-variation-handling pattern-verification market-development-summary industry-progress-tracking userprompt-driven-analysis automated-insight-generation
  • Updated Dec 21, 2025
  • Python

chigwell / govaitextextract

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govaitextextract extracts structured AI/tech initiative data from text for policy, news, and recruitment analysis.

natural-language-processing information-extraction text-processing data-normalization policy-analysis entity-recognition news-aggregation json-formatting language-model-integration xml-formatting automated-summarization structured-data-output ai-initiative-tracking recruitment-tracking domainspecific-extraction
  • Updated Dec 21, 2025
  • Python

chigwell / vrscene-parser

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A new package would process textual descriptions of virtual reality scenes or environments and return structured, validated outputs that describe the scene in a standardized format. It would use an LL

nlp json automation validation consistency correctness metadata-extraction content-tagging semantic-understanding llm-interpretation structured-data-output schema-enforcement text-to-structured vr-scene-description standardized-schema automated-scene-generation vr-development-workflow llm-powered-generation
  • Updated Dec 21, 2025
  • Python

chigwell / yearly-insights-parser

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A new package that analyzes user-provided text summaries of yearly breakdowns (e.g., financial reports, project post-mortems, or performance reviews) and extracts structured insights. It uses an LLM t

natural-language-processing text-analysis json-export csv-export trend-analysis ai-analytics actionable-recommendations structured-data-output yearly-summary-parsing llm-powered-insight-extraction key-theme-identification recurring-issue-detection success-recognition recommendation-generation machinereadable-format automation-of-report-digestion kpi-extraction performance-review-summarization financial-report-insight project-postmortem-analysis
  • Updated Dec 21, 2025
  • Python

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