Abstract: Conversational systems have made considerable strides in recent years as a form of human-computer interaction. Human-computer interaction has paved the way for large-scale natural language processing techniques. A chatbot in medical field [10] does instant research on people’s problems and prescribes medicine and assistance without any delay [9]. This system proposes a medical assistant chatbot that uses NLP concepts such as cosine similarity and TF-IDF approaches to replay to users, which will be pocket friendly, fast, accurate and a one place halt for a user to avail home remedies and easy cures for common diseases.
Index Terms: Natural Language Processing (NLP), Natural Language Toolkit (NLTK), Term Frequency-Inverse Document Frequency (TF-IDF), Cosine Similarity.
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DOI:
10.17148/IJARCCE.2021.10532
