AI-Driven Medical Chatbot for Early Disease Detection

Abstract

Abstract: This paper presents the design and implementation of an AI-powered medical chatbot for predicting infectious diseases and providing medical assistance. The chatbot leverages Machine Learning (ML) techniques, including Support Vector Machine (SVM), Long Short-Term Memory (LSTM) networks, and Natural Language Processing (NLP), to accurately interpret and respond to user queries. It is trained on medical datasets consisting of symptom descriptions, disease history, and treatment plans. Therefore, the chatbot can suggest an accurate diagnosis, preventive measures, and possible treatment options. The chatbot serves as an intelligent healthcare assistant that provides immediate replies and individualized medical indications at all times, minimizing the necessity for immediate physician consultations. It is intended to be used on various platforms to make it available through the internet and mobile application. The system has a high accuracy rate. As a result, it is effective in predicting diseases and engaging users. The purpose of the study is the role of AI chatbots in the transformation of healthcare. AI chatbots connect patients with medical professionals, provide immediate support, and alert patients of the early signs of diseases (especially during pandemics and emergencies).