lakshyakumar / lakshyakumar/Knowledge-Base-AI

📊 Advanced Reporting

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documentation enhancement good first issue help wanted
Dominant language
Python
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Description

Description:
The current report generator provides general summaries based on scraped content and AI analysis. We want to enhance it by enabling query-driven, sectioned, and semantic report generation. Users should be able to request specific types of reports, and the system should dynamically structure the report with labeled sections (e.g., Insights, Data Points, Sentiment Analysis, Action Items).

Acceptance Criteria:

  • Dynamically generate section-based reports based on user query.
  • Content must be markdown formatted and user-friendly.
  • Include content-specific visual elements where applicable (e.g., tables, bullet points).
  • Must be reusable for various content types and queries.

📘 Note: Please read and follow the Contribution Guide before starting work on any of the tasks listed below.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Read CONTRIBUTING.md first, then locate the current report generator in the repository and trace how scraped content, AI analysis, and user queries reach it. Define how query-driven sections, markdown formatting, and content-specific tables or bullet points should work across content types; done means the acceptance criteria are met for reusable report generation.

Written by the indexing model from the issue text.

Assessment

Tech stack
fastapi, python
Domain
ai, backend
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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