HealthPulse: Your Digital Healthcare Companion |
Author(s): |
| Shruti Patil , Usha Mittal Institute of Technology, SNDT Womens University, Mumbai; Riya Jha, Usha Mittal Institute of Technology, SNDT Womens University, Mumbai; Asmita Wakchaure, Usha Mittal Institute of Technology, SNDT Womens University, Mumbai; Prof. Kumud Wasnik, Usha Mittal Institute of Technology, SNDT Womens University, Mumbai; Prof. Poonam Vengulekar, Usha Mittal Institute of Technology, SNDT Womens University, Mumbai |
Keywords: |
| AI, Medical Chatbot, Symptom Analysis, Machine Learning, NLP, Infectious Disease Prediction, and Public Health |
Abstract |
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The rise of infectious diseases around the world emphasizes the need for cutting-edge instruments to improve early identification and prevention. An AI-powered medical chatbot that predicts infectious diseases based on user-reported symptoms and medical history is proposed in this study. Through real-time interaction and the integration of machine learning (ML) and natural language processing (NLP), the chatbot correctly detects infections and suggests the best course of action, including diagnostic testing or medical advice. The program, which was trained on a wide dataset, can efficiently identify between disorders that have similar symptoms. It creates customized health evaluations and provides prompt, situation-specific guidance. The system also helps with public health monitoring by offering anonymised data for outbreak detection and epidemiological analysis. High prediction accuracy in the experimental results indicates the potential of AI-driven solutions to enhance public health outcomes and healthcare delivery. |
Other Details |
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Paper ID: IJSRDV13I30085 Published in: Volume : 13, Issue : 3 Publication Date: 01/06/2025 Page(s): 92-95 |
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