Development of AI virtual consultant of the University Admissions Committee «University Admissions Advisor»
Supervisor: Tleubayeva A.O.
Source of financing: intra-university grant
Partners: «Cleverest Technologies»
Years of implementation: 2023
Funding volume: 1 000 000 tenge
Source of financing: intra-university grant
Partners: «Cleverest Technologies»
Years of implementation: 2023
Funding volume: 1 000 000 tenge
Target
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.
Results
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.
