Direction EdTech INC. (20240428358). SCHOOL ADMISSION PREDICTION SYSTEM AND METHOD

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SCHOOL ADMISSION PREDICTION SYSTEM AND METHOD

Organization Name

Direction EdTech INC.

Inventor(s)

Chih-Hsien Hsia of Yilan County (TW)

Po-Han Wu of New Taipei City (TW)

Liang-Ying Ke of Yilan County (TW)

Pai-Pei Szeto of Taipei City (TW)

An-Ting Hsiao of Taipei City (TW)

SCHOOL ADMISSION PREDICTION SYSTEM AND METHOD

This abstract first appeared for US patent application 20240428358 titled 'SCHOOL ADMISSION PREDICTION SYSTEM AND METHOD



Original Abstract Submitted

a school admission prediction system and method are provided. the system includes a user interface for receiving personal data from an applicant, including academic and activity data. a data acquisition module connected to the user interface acquires this personal data. a data preprocessing module connected to the data acquisition module preprocesses the academic and activity data. an attribute selection module connected to the data preprocessing module extracts multiple attributes from the preprocessed data. a machine learning model generates an evaluation report based on the extracted attributes. this report includes a prediction of whether the applicant will be admitted to the school. the system also includes a loss calculation module for evaluating the performance of the machine learning model and optimizing its parameters based on the evaluation results. the method and system provide a reliable and efficient way to predict school admissions, helping applicants to better prepare their applications.