DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-11,Issue-6 ( Jun, 2023 ) | |||||||||
Paper Title |
A Healthcare Chatbot Made With NLP | |||||||||
Author Name |
Kuruganti Priyanka, Vishnumolakala Mounika, Meka Gnana Sivani, Dega Balakotaiah | |||||||||
Affilition |
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Pages |
59-62 | |||||||||
Abstract |
The beginning of a happy life requires good health. However, if you are having any health problems, seeing the doctor can be difficult. Using NLP, a sort of AI technique that can recognize ailments and provide basic information. The Healthcare chatbot is designed to reduce the medical expenses and provide broader availability of medical information. Certain chatbots serve as patient-accessible online medical encyclopedia’s, informing them of their illnesses and encouraging improved health. Only if a healthcare chatbot can identify all diseases and deliver the appropriate information will the user be able to profit from it. The technology offers voice or text help, allowing the user to communicate in whatever language is most practical for him. The bot will identify the user's ailment and provide information on doctors based on the user's symptoms. It provides dietary recommendations that include the specific foods you should eat. As a consequence, people will be well safeguarded and informed of their health. Keywords - Chatbot, Natural language processing(NLP), Natural language generation(NLG), TF-IDF, N-Gram, Cosine Similarity, Tokenization, Stopwords. | |||||||||
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