Development of AI virtual consultant of the University Admissions Committee «University Admissions Advisor»

The main objective of the project is to create an automated and efficient tool that provides consultations to prospective students during the university admission process.

The results of the project include a mathematical model based on neural network technologies, machine learning models, a virtual avatar, and a dataset of questions and answers. The project holds significant potential for enhancing the experience of prospective students during the university admissions process and optimizing the operations of the admissions committee.