AI/ML
ResearchGap AI
A literature-review platform that helps PhD candidates and researchers compile papers, run semantic theme analysis, and pinpoint research gaps grounded in the sources. Live at researchgap.tech.
Tech Stack
The Problem
Finding a genuine research gap means reading hundreds of papers by hand. Most students and early researchers don't have time for that, so they end up picking topics that are already crowded.
How It Works
Papers are ingested from sources like arXiv and OpenAlex, embedded with Sentence-BERT, then clustered with K-Means to group them by theme. Bibliometric analysis on each cluster looks at publication counts, recency, and citation activity to surface the underexplored themes. The app itself walks users through collecting papers, clustering them, pinpointing gaps, and exporting a report, with a Next.js frontend.