<?xml version="1.0" encoding="UTF-8"?>
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  <title>DSpace Collection: Year-2025</title>
  <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/1814" />
  <subtitle>Year-2025</subtitle>
  <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/1814</id>
  <updated>2026-09-04T10:38:59Z</updated>
  <dc:date>2026-09-04T10:38:59Z</dc:date>
  <entry>
    <title>AyurIntel: the intelligent ayurvedic assistant for cancer research and epigenetic insights</title>
    <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/2081" />
    <author>
      <name>Rawat, Arun Singh</name>
    </author>
    <author>
      <name>Dhanjal, Jaspreet Kaur (Advisor)</name>
    </author>
    <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/2081</id>
    <updated>2026-09-02T22:00:29Z</updated>
    <published>2025-07-01T00:00:00Z</published>
    <summary type="text">Title: AyurIntel: the intelligent ayurvedic assistant for cancer research and epigenetic insights
Authors: Rawat, Arun Singh; Dhanjal, Jaspreet Kaur (Advisor)
Abstract: AyurIntel is a knowledge-based AI system created to connect classical Ayurvedic texts with modern oncology. It does this by using knowledge extraction, biomedical NLP, and generative AI (LLMs with RAG). The primary goals of this project are to: • Organize and structure scattered Ayurvedic knowledge • Extract and integrate insights from biomedical literature • Enable accessible, conversational interaction with the unified dataset via a chatbot and visual knowledge graph We used sources like the Charaka Samhita, PubMed, ClinicalTrials, and AYUSH Monographs. We applied techniques such as NER, Sanskrit NLP, OCR, and a knowledge graph (Ayurtator). The final system features a chatbot interface powered by RAG+GPT and a web interface with graph-based visualizations.</summary>
    <dc:date>2025-07-01T00:00:00Z</dc:date>
  </entry>
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