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                <text>Faculty Publications</text>
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          <name>Creator</name>
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              <text>Sundharess, B.; Joy, Helen K.; Rajasekaran, Sridevi; Varghese, Nisha; Gobi, R.; Rajesh Kanna, R.</text>
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          <name>Title</name>
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              <text>Hierarchical Retrieval Augmentation Generation for Multimodalized Woman's Companion</text>
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          <name>Date</name>
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              <text>01-01-2025</text>
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              <text>Proceedings of IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, ICWITE 2025;</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.1109/ICWITE64848.2025.11307085" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICWITE64848.2025.11307085&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105032364944?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105032364944?origin=resultslist&lt;/a&gt;</text>
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              <text>Sundharess B., Christ University, Department of Computer Science, Bangalore, India; Joy H.K., Christ University, Department of Computer Science, Bangalore, India; Rajasekaran S., Christ University, Department of Computer Science, Bangalore, India; Varghese N., Christ University, Department of Computer Science, Bangalore, India; Gobi R., Christ University, Department of Computer Science, Bangalore, India; Rajesh Kanna R., Christ University, Department of Computer Science, Bangalore, India</text>
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              <text>Empowering Women in society currently face many health-related problems due to the lack of health literacy. Specifically, people are not open to talking about such as sexually transmitted diseases and mental health problems, and counselling is considered taboo in most parts of the world. Some female children grow up under the care of single fathers who are sometimes unaware of the menstrual cycle and the necessary precautions. The solution presented by the research to overcome the problem is a women's health chatbot using Large Language Models (LLM). The research proposes an enhanced retrieval augmentation generation (RAG) architecture that uses the Cloudbased API to get a faster response from the LLM. The women's health chatbot secures data privacy by not saving conversations and being available for 24 hours. Addressing various women's health concerns-such as menstrual health, mental health, pregnancy, and menopause-the chatbot employs the LangChain framework for processing and indexing health-related documents into a vector store for efficient retrieval. The chatbot also features an alert mechanism to identify critical conversations, such as those involving suicidal thoughts, and sends alerts to specified contacts. This integrated approach aims to improve access to accurate health information and support women to make informed health decisions.   2025 IEEE.</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>ISBN: 978-166545762-0;</text>
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              <text>English</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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