Intelligent Chatbot for Hospital Recommendation System

• Published in: 2024 2nd International Conference on Disruptive Technologies (ICDT) pp. 664 - 668
• Main Authors: K, Rajkumar, T, Ragupathi, S, Karthikeyan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15-03-2024
• Subjects: Automated; Chatbots; Hospitals; Intelligent Chat; IP Address; Manuals; Offline mode; Online mode; Oral communication; Servers; Trained Data; Training; Web pages
• DOI: 10.1109/ICDT61202.2024.10488954

The main objective of this project is to create a user-friendly intelligent chatbot for Medical guidance and support. This application has been classified into two different modes based on user preference, those are Online and Offline modes of interaction. In the Online mode of interaction, there is no need for any automation, there will be a real person at the other end answering user queries. Users can even ask for untrained data and will receive instant replies. This application is similar to a normal chat application, but the main disadvantage is that a real person is needed at the other end at all times. In the Offline mode of conversation which is entirely automated the user will be performing an interaction with the chatbot itself. The chatbot must consist of data sets and trained data collection, in this process there is no need for any real person, the chatbot itself will reply instantly based on the trained data. The chatbot will be more accurate when a large number of data is trained. This application is compatible with working in various browsers and varied networks. The Admin of the application plays a significant role. Admin can access all the given functions and is responsible for data training. Data training plays a vital role in this application, the trained data will be used by the chatbot while answering user queries i.e. Offline mode. This chatbot application can be accessed by several users at the same time, where IP address plays the main role. The main function of this application is that user can post their corresponding queries and the application will be providing relevant information based on queries. The Latest Modern chatbots are used in applications where simple interaction is needed, for example, service and marketing technology to provide answers such as products, services, and consultancy. If the customer's queries don't match with the trained data sets, the customer will be escalated to manual interaction i.e. Online mode.