Chat and Voice Bot Implementation for Cardio and ENT Queries Using NLP

Human to machine conversational UI's, commonly referred to as chatbots, helps users with a new method to talk with computers. Users can ask queries to chatbots just like they would to a human. But chatbots are increasingly often utilized in online conversation services. Artificial intelligence is used by these bots to comprehend human input and react appropriately. The three most important areas to focus on are medicine/health, agriculture, and education. Nowadays, chatbots can be utilized anyplace a person can talk to a computer at any time. The fastest expanding sectors for hiring are customer service, sales, marketing, and branding, as well as human resources. This prediction tasks are now carried out by other chatbots (especially in the medical industry), made possible by developments in AI and data mining methods. The number of patients is rising quickly every day as lifestyles change, just like in the modern world. As a result, both the hospital and the local health care systems are expanding quickly. Patients with hectic schedules must wait a long time for doctors. Some diseases take longer to recover from. Around the world, heart disease and ENT diseases are prevalent issues. 4,444 people, both young and elderly, pass away from heart attacks every day. The main challenges of cardio patients are they do not know how to prevent and cure the diseases and the solutions are not available for their doubts. In order to improve both business and healthcare outcomes, healthcare practitioners will be able to collect data remotely, diagnose patients accurately from a distance, and use AI to evaluate data. Our chatbot performs using Natural language tool kit (NLTK) of python, Natural Language Processing (NLP), and its methods include stemming, tokenization, pattern matching and also sequence to sequence methods accordingly. Every user of chatbot is not educated. So, we need voice based chatbots for illiterate users who can speak but cannot write.