Web-Based Multiple Disease Prediction System with Transfer Learning and Healthcare Chatbot

This study aims to provide a web-based disease prediction and medical suggestion system that uses transfer learning, deep learning, and Dialogflow. Transfer learning extracts characteristics from pre-trained deep learning models, and machine learning methods are used to identify illnesses. Furthermore, it communicates with consumers and collects additional information about their symptoms using Dialogflow, a conversational AI platform. The suggested system was tested on a dataset of individuals suffering from numerous diseases, and the findings show that it can predict diseases and provide suggestions. The proposed system has various benefits over existing disease prediction and medical suggestion systems, including the capacity to enhance accuracy and acquire additional information by leveraging transfer learning and conversational AI. It can help healthcare providers make educated decisions and provide patients with individualized treatment regimens, improving healthcare outcomes.