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1716102 Vol 9 · Issue 10 Download Paper

Healthsense AI Chatbot for Disease Prediction and Health Guidance

Uzma Shahbuddin Basri Shwetali Devidas Italkar Sakshi Balaji Lohar Rutuja Shirish Kshirsagar Prof. Kumbhar

Subject area: Science,Engineering and Technology  ·  Area of research: Artificial Intelligence

DOI: https://doi.org/10.64388/IREV9I10-1716102

Abstract

This paper presents HealthSense AI, an intelligent healthcare chatbot designed to provide instant medical guidance and preliminary disease prediction based on user symptoms. The system uses a hybrid approach combining a local health knowledge database with a generative AI model (Google Gemini API). Natural Language Processing (NLP) is used to understand user queries and generate meaningful responses. The chatbot improves accessibility to healthcare guidance and reduces unnecessary hospital visits.

Keywords

Artificial Intelligence, Chatbot, Healthcare, Machine Learning, Natural Language Processing

How to cite this paper

Uzma Shahbuddin Basri, Shwetali Devidas Italkar, Sakshi Balaji Lohar, Rutuja Shirish Kshirsagar, Prof. Kumbhar "Healthsense AI Chatbot for Disease Prediction and Health Guidance" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 722-724 https://doi.org/10.64388/IREV9I10-1716102
Uzma Shahbuddin Basri, Shwetali Devidas Italkar, Sakshi Balaji Lohar, Rutuja Shirish Kshirsagar, Prof. Kumbhar "Healthsense AI Chatbot for Disease Prediction and Health Guidance" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026, doi: https://doi.org/10.64388/IREV9I10-1716102
Uzma Shahbuddin Basri, Shwetali Devidas Italkar, Sakshi Balaji Lohar, Rutuja Shirish Kshirsagar, Prof. Kumbhar (2026). Healthsense AI Chatbot for Disease Prediction and Health Guidance. Iconic Research And Engineering Journals, 9(10). doi: https://doi.org/10.64388/IREV9I10-1716102
Uzma Shahbuddin Basri, Shwetali Devidas Italkar, Sakshi Balaji Lohar, Rutuja Shirish Kshirsagar, Prof. Kumbhar "Healthsense AI Chatbot for Disease Prediction and Health Guidance" Iconic Research And Engineering Journals, vol. 9, no. 10, Apr. 2026. Crossref, https://doi.org/10.64388/IREV9I10-1716102
@article{1716102,
      author = {Uzma Shahbuddin Basri, Shwetali Devidas Italkar, Sakshi Balaji Lohar, Rutuja Shirish Kshirsagar, Prof. Kumbhar},
      title = {Healthsense AI Chatbot for Disease Prediction and Health Guidance},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {722-724},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716102.pdf},
      abstract = {This paper presents HealthSense AI, an intelligent healthcare chatbot designed to provide instant medical guidance and preliminary disease prediction based on user symptoms. The system uses a hybrid approach combining a local health knowledge database with a generative AI model (Google Gemini API). Natural Language Processing (NLP) is used to understand user queries and generate meaningful responses. The chatbot improves accessibility to healthcare guidance and reduces unnecessary hospital visits.},
      keywords = {Artificial Intelligence, Chatbot, Healthcare, Machine Learning, Natural Language Processing},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1716102}
  }