1. **Upload & Ingest:** Users drop in a PDF (or provide a URL). A backend pipeline extracts text, figures, and references. 2. **NLP Summarization:** Advanced transformer models parse each section (Introduction, Methods, Results, Discussion) and generate: - **Key Findings:** 3–5 bullets highlighting the paper’s contributions - **Limitations:** 2–3 bullets on methodological or data constraints - **Open Questions:** Suggested follow-ups or extensions 3. **Export & Cite:** One-click export to Markdown, Word, or JSON. Automatic BibTeX entry generated using the original DOI and metadata. 4. **Collaboration:** Share summaries with peers; comments and “rate usefulness” features help improve the summary model over time.