Multi-Language Medical Symptoms Analyzer and Hospital Locator Chatbot
Ramani Kasarapu, Malepati Sai Deepthi, N. Naveen, Chintala Jeevan Raju, Kandati Krishna · 2024
Not every hospital may have a help desk to respond to patient queries regarding the disease prediction based on their symptoms and suggesting appropriate department or medicine, providing precautions for that disease in multiple languages. An automated system, such as a chatbot, can effectively address this issue. The medical chatbot is trained using Hybrid Deep Neural Network-Recurrent Neural Networks (DNN-RNN). The user's query accepted through user interface is pre-processed using Natural Language Processing (NLP) and based on the symptoms disease is predicted using wikipedia summary dynamically. The chatbot is user-friendly, and allows the users to interact in three different languages-English, Hindi and Telugu. It also enables users to enter the location in text, and it using Geopy library, Google Places API, and Folium library hospitals' location information is displayed in the user-specified area. The performance of the proposed method is evaluated using accuracy and loss function. This proposed method is a highly effective learning process, making the chatbot a reliable tool for medical queries and disease prediction based on symptoms.