Document search interface built with Next.js and React that visualizes TF-IDF term weighting, cosine similarity scoring, and document relevance rankings.
Frontend Developer
2025
Search UI & Web App
Information retrieval algorithms such as TF-IDF and Vector Space Models often operate as opaque calculations, making it difficult to inspect how individual query terms contribute to document rankings.
Built an interactive React and Next.js interface that decomposes text tokenization, term frequency (TF), inverse document frequency (IDF), and relevance scoring into inspectable data tables with keyword highlighting.
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