A Smart Task Management and Schedule Suggestion Mobile Platform for Efficiency Improvement using Artificial Intelligence and Machine Learning
Keith Cao1 and Joshua Wu2, 1USA, 2California State Polytechnic University, USA
Abstract
Task management is a dilemma many people are plagued with in their daily lives. Ironically, this itself is a massive task for many, especially if they suffer from depression or other mental illnesses. In developing this app, we used ChatGPT 3.5-Turbo to receive a list of tasks from a user and return a completed schedule for them to follow. It contains a scheduling system that receives a token from the user and returns a token of its own in the form of JSON data that the program then parses and displays, a cloud storage that stores every user’s data individually and can be drawn on easily, and a tasks page where users may create new tasks and complete old ones with three different display settings relating to the range of time the tasks are in: Today, Week, and All. This application will enable users to save time by crafting a schedule for them, help improve the time management skills of users, and help them finish goals before a set deadline.
Keywords
Artificial Intelligence, ChatGPT, OpenAI, Flutter
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#artificialinteligence #chatgpt #openai #flutter #machinelearning
