AI/ML
ResearchGap AI
An AI platform using semantic embeddings and clustering to analyze research literature and identify potential research gaps.
Tech Stack
PythonSentence-BERTScikit-learnK-MeansNext.js
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 academic sources, 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 underexplored themes. The app walks users through collecting papers, clustering them, pinpointing gaps, and exporting a report, with a Next.js frontend.