Article Preview
Top1. Introduction
The term “Artificial Intelligence” (AI) was coined by John McCarthy in 1956 meaning “the science and engineering of making intelligent machines” (Society for the Study of Artificial Intelligence and Simulation of Behavior, 2018). AI is also known as “General AI” which is conceptualized as ‘the machines that can think and reason and even see and hear like humans’ (Copeland, 2016). AI is that part of computer science that deals with the simulation of intelligent behavior in computers (Malley et al., 2017). While this definition seems, by all accounts, to be direct, there is no consensus among specialists in the field around what explicitly constitutes intelligence. However, some AI specialists have suggested that something ‘acts intelligently’ when: (1) what it does is suitable for its circumstances and its aims; (2) it is adaptable to changing environmental conditions and changing goals; (3) it gains insights from experience; and (4) it makes right decisions are given its perceptual and computational limitations (Poole & Mackworth, 2010).
The field of artificial intelligence (AI) has come a long way since the term was first coined by a group of researchers in 1956 (Knapp, 2006). While there are currently numerous AI applications that have been installed in high-income nation settings, use in resource-poor contexts remains relatively nascent. There are signs that this is evolving. In 2017, the United Nations (UN) summoned a global meeting to converse about the advancement and arrangement of AI applications to diminish destitution and deliver a broad range of basic public services (Global Summit, 2017). More recently, another UN meeting united various stakeholders to assess the role AI could play in accomplishing the Sustainable Development Goals (SDGs) (UN Sustainable Development Goals, 2017). Researchers and experts envisage AI to have a prominent impact in diverse areas of healthcare and medicines such as chronic disease management, radiology, cardiology and clinical decision making (Bresnick, 2016; Norman, 2018). AI has the potential to revolutionize the female healthcare and menstrual hygiene system.
A female is expected to employ over 1800 days of her life on menstruating (Garg et al., 2012). We can say, it is roughly 5 years of her life period spent on bleeding. During the hour of the feminine cycle, around 1% of females in India, don’t utilize anything by any means. USAID 2014 states that practically 88% of females in India utilize homemade choices (Kiawah, 2014). Qualitative studies on the affordability of sanitary napkins demonstrate that premium commercial products are un-affordable or not accessible for females may it be women or girls in villages/low-income communities.
Thus, this study is being done with a clear objective of developing a sustainable prototype that can address all the issues jointly and creating a way for commercial exploitation too. Keeping in mind, the research paper involves the possible use of artificial technology to categorize the technological tools that focuses on women’s health. The proposed method will address the problems pertaining to menstruation, to impart the knowledge towards best practices, and thus ensuring a decent quality of life for women. Next section covers the detailed literature about the use of AI in menstruation along with reasons behind poor women menstrual hygiene management. Succeeding section of the paper proposes AI based solution for women menstrual hygiene. Subsequent section deals with menstrual solutions with the help of Machine learning and Natural language processing technology of AI. Last section of the paper covers conclusion along with limitations and scope of future work.