Authors - Gagani Kulathilaka, Inuka Gajanayake, Guhanathan Poravi, Saadh Jawwadh Abstract - In modern digital environments, organizations require intelligent sys tems to manage complex workflows and decision-making. Unlike most of the task management systems that are manual and give no feedback and even lack competence; this leads to poor prioritization, deadline been missed and poor com munication between teams. Thus, IntelliTask is an intelligent system of dealing with tasks, which is AI-powered and, consequently, is context-aware, giving it an edge to enhance the quality of the working processes of the people using the system (both individuals and businesses), enhancing the prioritization, and im proving the productivity. The IntelliTask platform is machine-learning models, predictive analytics, and dynamic scheduling based on identifying key tasks to balance the workloads and the cognitive load on users without the user having to engage in the task. The solution will enhance the rate at which the tasks are ac complished, making informed decisions and will bring flexibility on what task management systems will be established in the future in enterprises.
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