Yi Li¹ and Yu Sun², ¹Seattle Academy, USA, ²California State Polytechnic University, USA

It is no secret that a large portion of our population struggle with task management [1]. According to a 2021 research, twenty five percent of people do not employ a task management system and simply work on “whatever seems the most important at the moment”. Among the population that do use some sort of task management, the most popular form of managing personal tasks is through to do lists (33%) followed by using their email inbox (24%). Thus, I thought to combine these two most common methods by creating a to do list automatically generated from the email. We used the open sourced software natural language processing (NLP) to pick out the important sentences in the text and convert them into tasks for the to-do list. We used keywords such as “tomorrow”, “next”, “month”, etc combined with the date the email was sent to determine the “due date” of the to do list. Because the to-do list extracts information directly from the inbox without any participation from a human, unlike many other apps, this could be effectively used by those that do not check their email.

Mobile platform, Machine Learning, NLP.