Smart Voice Based Medical Chatbot for Disease Prediction

The global shortage of medical resources has intensified in recent years, exacerbated by a growing and aging population, particularly following the pandemic. However, advancements in robotics and artificial intelligence have empowered healthcare professionals to address these challenges. Intelligent Speech Technology (IST) is one such innovation that has helped doctors and patients enhance medical efficiency and reduce cumbersome tasks. Despite this, complex hospital environments with background noise and variations in patient pronunciation have limited IST’s broader application. Yet, as machine learning technologies rapidly advance intelligent speech recognition capabilities, these obstacles are expected to be overcome in the near future. This project focuses on the concept of an AI-based voice-assisted chatbot for medical disease prediction. Deployed on a Raspberry Pi as a standalone hardware device, it utilizes natural language processing (NLP) and machine learning (ML) techniques to detect diseases by interacting with users through a series of questions. A groundbreaking innovation, the Speech-Assisted Chatbot for Medical Infectious Disease Prediction, promises to transform healthcare delivery. By leveraging AI-driven algorithms and natural language processing, it facilitates quick diagnosis and prescription generation through spoken interactions with patients. This simplifies and accelerates procedures, reduces error risks, improves patient care standards, saves valuable time for healthcare professionals, and enhances service availability, all contributing to better outcomes and more efficient healthcare processes..