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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Published Paper Details:

  Paper Title

Sanjeevini Bot Using Machine Learning

  Authors

  Abdul Azeem Sheikh,  B Aman Ulla Khan,  Harshith DR,  Chinmay Hegde AJ,  Manasa SM

  Keywords

Sanjeevini Bot, Virtual Healthcare Assistant, Machine Learning, Artificial Intelligence, Random Forest Classifier, TF-IDF Vectorization, Natural Language Processing (NLP), Text-to-Speech (TTS), Disease Prediction, Personalized Medical Advice, Recommendation Engine, IoT Health Monitoring, Multilingual Support, Telemedicine, Healthcare Accessibility, Symptom Analysis, Medical Database, Healthcare Chatbot, Real-time Assistance, Data Privacy and Security, User-friendly Interface, Inclusive Healthcar

  Abstract


The Sanjeevini Bot is an AI-driven virtual healthcare assistant designed to improve accessibility and efficiency in healthcare. It utilizes machine learning techniques, including a Random Forest classifier and TF-IDF vectorization, to predict medical conditions based on user-reported symptoms, recommend medicines, and connect users to healthcare professionals. Its features include natural language processing for seamless interaction, a user-friendly interface, and text-to-speech functionality for enhanced accessibility. With a robust medical database and personalized recommendation engine, the bot provides accurate, timely guidance, bridging gaps in healthcare delivery. Testing demonstrates its high reliability in diagnosing conditions and offering relevant medical advice. Future advancements include IoT-based real-time health monitoring, multilingual support, expanded medical databases, and telemedicine capabilities for direct consultations. By integrating advanced technology with user- centric design, the Sanjeevini Bot addresses critical gaps in healthcare access, particularly in underserved areas, and sets the stage for scalable, inclusive healthcare solutions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2501240

  Paper ID - 275446

  Page Number(s) - c78-c86

  Pubished in - Volume 13 | Issue 1 | January 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Abdul Azeem Sheikh,  B Aman Ulla Khan,  Harshith DR,  Chinmay Hegde AJ,  Manasa SM,   "Sanjeevini Bot Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.c78-c86, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501240.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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