IJSEA Volume 15 Issue 5

Design and Implementation of Postgraduate Examination Prediction and Recommendation Based on Python

Chaoxuan Chen
10.7753/IJSEA1505.1011
keywords : Postgraduate entrance examination data analysis; big data development; Python development

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This system is based on big data technology, integrating Hadoop and Spark for data processing, Python for crawling postgraduate entrance examination information, Spring Boot and MyBatis for building the backend, Echarts for visualization, and MySQL for data storage. By analyzing application trends and the development of professional master's programs, it constructs a postgraduate entrance examination score prediction and school selection recommendation system to provide accurate decision support for candidates.
@artical{c1552026ijsea15051011,
Title = "Design and Implementation of Postgraduate Examination Prediction and Recommendation Based on Python ",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "15",
Issue ="5",
Pages ="80 - 81",
Year = "2026",
Authors ="Chaoxuan Chen"}