Research Brief Generator
LLM-assisted briefing workflow for health papers
Project C · LLM Application
Structured research briefs from long-form papers.
A lightweight AI application for turning dense research papers into a consistent briefing format that a programme lead, policymaker, or field operations team can read quickly.
Use case
Research papers often contain the right evidence but arrive in the wrong format for a busy delivery team. This project creates a structured bridge:
- input a paper as text or extracted PDF content
- ask the model for a fixed briefing schema
- export a short brief in JSON and markdown-ready text
Brief schema
| Field | Purpose |
|---|---|
title |
Human-readable title |
research_question |
What the paper is trying to answer |
methods |
Study design in plain language |
main_findings |
Bullet-ready evidence summary |
operational_implications |
What a programme team should do with it |
equity_notes |
Any fairness or implementation concerns |
limitations |
What not to over-claim |
Workflow
Files in this project
- generate_brief.py for the CLI workflow
- examples/sample_paper.txt as example input
- examples/sample_brief.json as example output
- README.md with setup notes
Why it matters
This project shows applied AI in a way that fits my background. It is not novelty for its own sake. It solves a real evidence translation problem and keeps the human reviewer in the loop.