Chatbot for Expecting Women and their Families Using Machine Learning and Natural Language Processing

Abstract

Deep learning and Natural Language Processing is widely used in research fields like health-care and medicine. In an era of smartphones, almost every task is done on the finger tips. The objective of this project is to provide customized information to pregnant women and their families. Though there is a vast amount of information available on pregnancy and childcare on internet and other sources, surfing the internet to find the right and most suitable answer to our query every time is a tiresome task. Through this project we aim to provide customized answers to user queries. We designed a Q&A chatbot which provides information on prenatal and postnatal conditions. This chatbot is the major part in the website developed for pregnant women. The main idea of website, is to provide a chatbot which delivers support to pregnant women, mothers, and their families by helping them in relevant situations. It also provides water and medicine reminders. It is a user-friendly website which can be easily accessed by anyone. The chatbot is developed using Machine Learning, NLTK and Natural Language Processing technologies. A machine learning algorithm known as Long Short-Term Memory is used in building the chatbot.