This research project aims to design an automated and optimised task scheduling system that enhances productivity through optimisation techniques. Considering a set of tasks with respective durations, the objective is to generate an optimal schedule that ensures the highest workflow.

The system will assume that all tasks are prioritised based on their nature; it will differentiate between thinking and doing tasks. It will then utilise this information to assign these tasks to suitable time slots in the day. The aim here is to create a seamless workflow with the user progressing from one task to another without the need for decision-making or additional planning, thus resulting in greater productivity and efficiency.

The application should also be personalized, considering individual user preferences. These may include preferred locales for specific tasks, such as doing certain tasks in a coffee shop, performing thinking tasks preferably in the morning, scheduling email related tasks at a fixed time, etc. These elements will lead to a context-aware scheduling approach, enhancing the relevance and effectiveness of the schedule.

Moreover, ensuring the well-being of the user is another key factor to consider while planning the schedule. Therefore, the tool will also incorporate breaks within the schedule at suitable intervals, based on the duration or intellectual demand of tasks.

This task management tool will require a comprehensive understanding of optimisation techniques. The software's functions could include task categorisation, importance labelling, pre-emptive scheduling, execution modelling, and productivity measurement among others.

Over this 12-week project, you will carry out a detailed literature review on optimal scheduling systems and techniques, design, develop and implement the automated scheduling system, and, finally, evaluate its performance with respect to task completion rate, user satisfaction, and productivity improvement.

The research and implementation of this tool provide a significant contribution to the fields of time management and productivity optimisation, providing practical benefits to a wide range of users.