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dd> U. B. Khairullaev, K. S. Sagidullaev, B. M. Kholboev,
Neural Network Model for Automated Task Assignment.
Int. J. Math. Comput. Sci., 20, no. 2, (2025), 689-693

DOI:

https://doi.org/10.69793/ijmcs/02.2025/khairullaev

Keywords and phrases:

Neural networks, machine learning, personnel selection, task allocation, project management.

Abstract:

In this paper, we present a neural network model for optimizing the allocation of project tasks among performers based on their skills, experience, and other relevant characteristics. The proposed approach relies on deep learning, employing a method of vector representation of skills and tasks within a unified semantic space. Experimental results demonstrate a 27% improvement in the quality of performer selection compared to traditional methods, as well as a 68% reduction in the time required for task allocation.