JinYoung Maeng, CEO of Campbell Academy, filed the patent about AI-Based Acceptance Prediction System

As the domestic entrance examination intensifies and interest in global talent demanded by the future society increases, the number of students who want to go abroad is increasing every year. However, as it takes a lot of money and effort to go abroad, we have no choice but to be very careful in deciding. Therefore, each individual should set a goal for a school with a high possibility of admission according to different characteristics, and prepare after accurately recognizing the necessary matters for each school.

Applicants want to go to international schools, American private schools, boarding schools, overseas law schools, overseas law schools, overseas dentistry schools, overseas dentistry graduate schools, overseas pharmacology graduate schools, and overseas pharmacology graduate schools.The rivers are so diverse that there are many difficulties in preparing them. Essays, accredited certification scores, and portfolios may be included in the screening items for each school. In particular, submitting essays is essential when studying in the United States. Essay topics vary from school to school, but in general, there are reasons for choosing to study abroad and reasons for applying to school. In addition, there are cases where you have to write based on individual values that the school values, and the standards are very different for each school, so it is important to analyze them accurately.

The problem to be solved by the present invention is to provide a more accurate and acceptance prediction system suitable for each applicant’s situation by reducing accuracy errors and deviations from methodological limitations of traditional statistical theory or probability-based prediction systems.

JinYoung Maeng, Head of the Campbell Education Group, introduced the patent AI-based prediction system about school acceptance rate. In detail, information on whether a target school (international school, university, graduate school) that wants to enter is accepted. The present invention relates to a method and apparatus for predicting acceptance of a school suitable for predicting acceptance of a school.

The target schools include any one of international schools, American private schools, boarding schools, overseas law schools, overseas law schools, overseas dentistry colleges, overseas medicine colleges, overseas pharmacology colleges. The admission test may include at least one of SAT, ACT, AP, SAT2, IB, ALevel, TOEFL, IELTS, GCSE, MYP, AMC, MUN, GED, SSAT, ISEE, MAP, LSAT, MCAT, DAT, and PCAT.