Scientific paper search API for AI agents: REST, Python, OpenAPI, and MCP with structured full-text evidence.

This project aims to simplify and summarize scientific data , convert it to a audio format as a podcast , and create a power point presentation from the paper. This helps researchers, academics and students altogether.

The project uses the DBLP and OpenCitations APIs to construct a visual representation of how scientific papers in the field of Computer Science cite each other.

A Flask-based web app that extracts text, summarizes scientific PDFs using Ollama, and retrieves figures from research papers. Supports batch processing via ZIP uploads and provides downloadable summaries.

AccessPaper lets you quickly find and access full-text research papers using their DOI, providing a fast and easy way to retrieve legal copies.

Reference converter (ACS vs WIREY) for scientific papers