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Featured AI ProjectRAPTOR Topic Trees

AuraNow

AI-powered video comment intelligence platform clustering unstructured discussions into interactive RAPTOR topic trees and audience sentiment analytics.

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RAPTOR Tree · Async Queue

AuraNow

AI social media intelligence transforming video comments into hierarchical RAPTOR topic trees.

An AI-powered video comment intelligence platform that automatically clusters YouTube comments into interactive RAPTOR topic trees, audience sentiment analytics, toxicity audits, and conversational insights.

Architecture Highlight

Engineered an asynchronous NLP pipeline combining vector embeddings, UMAP dimensionality reduction, HDBSCAN clustering, medoid selection, and recursive RAPTOR tree construction.

Key Engineering Deliverables
  • •Hierarchical RAPTOR Topic Trees: Clusters comments into high-level themes and sub-topics using representative medoids, quotes, and keyword extraction
  • •Representative Medoids: Uses real comments as cluster representatives for interpretable topic summaries instead of synthetic centroids
  • •Audience & Sentiment Insights: Engagement velocity tracking, sentiment distribution, engagement breakdown, and emoji/word clouds
FastAPIPythonReact 18RAPTORUMAP / HDBSCANMongoDB