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
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Updated
Dec 21, 2025 - Python