“MumCare”: An Artificial Intelligence Based Assistant


  • Milan Chamara Maduwantha Department of IT, SLIIT Academy Pvt Ltd., Sri Lanka
  • V.N. Vithana Department of IT, SLIIT Academy Pvt Ltd, Colombo 03, Sri Lanka




Pregnancy, Artificial Intelligence, Chatbot, Natural Language Processing, Mobile Health, Maternity Records


Bringing a new life to the world is a wonder to every mother. Experience faced by pregnant mothers vary from one pregnancy to another pregnancy. There is a vast amount of information available on the Internet and printed materials. Yet, this knowledge is too complex or lengthy and very few applications provide customized information to pregnant mothers. In a time where smart phones have become a necessity in our life, a mobile app is one of the easiest ways to obtain prenatal information. Hence, we have developed a mobile application to help pregnant mothers. This application includes an artificial intelligence (AI) based chatbot. AI chat bot communicates and guides the mother in a way that creates the illusion as if they are talking to their unborn child. The Spiral Model was used as the development methodology and the application was developed in an environment of continuous integration and deployment with GIT personal repository. This application was implemented using React Native and the Node.js. Chat bot was created with Dialogflow agent and integrated with the firebase through the Google cloud functions. Some existing applications were studied to identify the features and limitations of current pregnancy care mobile applications. This solution is realistic and successful and it has an upgradable model of growth. The rapid development of the Internet and mobile devices in the world has changed people's lifestyles. This mobile app will be helpful for pregnant mothers living in rural as well as in metropolitan areas alike and can enhance education and health.


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How to Cite

Maduwantha, M. C. ., & Vithana, V. (2021). “MumCare”: An Artificial Intelligence Based Assistant. International Journal of Electrical and Computer Engineering Research, 1(1), 21–28. https://doi.org/10.53375/ijecer.2021.25