ScholarMate — From Paper to Reproducible Research

Turn research papers into reproducible experiments in minutes.

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Inspiration

Reading research papers is often a passive experience, especially for students and beginners. While papers explain what was done, they rarely make it easy to understand how to reproduce the results. I was inspired by the gap between reading a paper and actually running an experiment. ScholarMate was built to turn research from something you read into something you can run and explore.

What it does

ScholarMate transforms a research paper into an executable research workflow.

Given a PDF (and optionally a dataset), it automatically generates:

  • A concise, grounded summary of the paper
  • Three concrete technical limitations
  • A reproducible mini-experiment with runnable Python code
  • A short slide deck explaining the paper and experiment

The focus is on helping users move from understanding to experimentation in minutes.

How we built it

The system is built as a simple end-to-end pipeline:

  • Extract text from the research paper
  • Ground all reasoning using retrieval-augmented generation (RAG)
  • Use Gemini 3 for structured reasoning and code generation
  • Generate and validate runnable experiment code
  • Export results and slides automatically

The backend is written in Python, with a minimal frontend for uploads and outputs. The architecture was intentionally kept simple to prioritize reliability and demo clarity.

Challenges we ran into

  • Hallucinations from large language models were reduced by grounding responses with retrieved paper content.
  • Ensuring generated code actually runs required tight constraints on libraries and runtime.
  • Scoping the project was challenging — many features were cut to keep the core flow polished and working.
  • Demo stability was critical, as even small failures could break trust.

Accomplishments that we're proud of

  • Building a fully working end-to-end system within hackathon constraints
  • Generating experiments that are lightweight, reproducible, and executable
  • Creating a clear, judge-friendly demo that shows real output, not mockups
  • Designing a system that goes beyond chat and delivers tangible artifacts

What we learned

  • Retrieval grounding dramatically improves trust and quality
  • Smaller, well-executed features outperform complex, unfinished ideas
  • Multimodal reasoning unlocks new ways to interact with research
  • Clear demos and storytelling matter as much as technical depth

What's next for ScholarMate — From Paper to Reproducible Research

Next, ScholarMate could expand to:

  • Support multiple papers for comparative analysis
  • Add citation-aware experiment validation
  • Integrate notebook execution environments
  • Enable collaborative research workflows

The long-term vision is to make research papers truly executable and accessible to everyone.

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