PICO Scholar is an open-source project at the proof-of-concept stage, developed by a team from Georgia Tech’s Master in Computer Science program with early guidance from Robert Gordon University (Andrews et al., 2023). Recently recognized with a 2nd place finish at the Red Hat & Intel AI Hackathon, PICO Scholar aims to tackle the growing challenge of sifting through massive, fast-evolving literature—whether in healthcare, engineering, or education. Traditional search tools often struggle with specialized terminology, inconsistent metadata, and a lack of transparent workflows. By integrating domain-adaptive AI and real-time collaboration features, our platform offers a more robust, efficient way for researchers to discover, analyze, and evaluate relevant studies.

We’re not just building another search engine—we’re creating an AI-driven collaboration hub designed to adapt across multiple domains and languages. As we move toward our first functional use case—helping conference organizers manage submissions—we’re actively seeking developers, researchers, and domain experts to guide our roadmap and expand the platform’s capabilities. Join us in making systematic reviews faster, more accurate, and truly open to all.

PICO Scholar GitHub repository

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