Healthcare Chatbot Using Natural Language Processing

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G.V.V. Sai Roshan, V. Koushik Raj, D. Mohan Satyendra, S. Sai Devesh, D. Lokesh, K. Swarna

Abstract

To get off to a good start in life, healthcare access is crucial. But seeing a doctor while you're unwell is a major pain. The way to go is to create a chatbot specifically for use in healthcare. Using Natural Language Processing (NLP), this AI component can identify ailments and administer basic medical treatment. Reduced healthcare costs and improved access to medical information are the two main aims of a healthcare chatbot. Chatbots have the potential to become patients' go-to resources for medical information, answering questions about symptoms and providing recommendations for treatment. The goal of developing a healthcare chatbot is to provide consumers with accurate information about any probable condition. Multiple languages for text or voice assistance are available to users of the technology. By analyzing user symptoms, bots may provide medical diagnoses, dietary recommendations, and doctor referrals. The public will then acquire self-defense skills and pay more attention to their health. An engine capable of providing relevant, human-like replies may be built using methods using AI and NLP, such NLTK for Python, to analyze speech and provide intelligent responses. Automated conversational software is known as a chatbot.

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