Automated Student Result Analysis and Career Guidance System Using Robotic Process Automation and Decision Tree Classification

For this project, we created a cutting-edge Robotic Process Automation (RPA) system that would improve and expedite the examination of student performance data. The student result PDFs are effectively converted by the system into an Excel format that is specified, with each row representing a student’s results. The system conducts a thorough study of the outcomes using a machine learning technique called the Decision Tree Classification Algorithm. This analysis indicates appropriate career options, like software development or system analysis, for each student. By automating the data entry for eighty pupils, this extensive process takes place concurrently with the PDF-to-Excel conversion, greatly increasing efficiency and saving teachers a great deal of time. Furthermore, the system offers tailored career counseling, supporting educators in counseling students on the best career options and empowering students. By automating the data entry for eighty pupils, this extensive process takes place concurrently with the PDF-to-Excel conversion, greatly increasing efficiency and saving teachers a great deal of time. The system also offers pupils individualized career counseling, which helps teachers counsel students on the best job options and empowers students to make better decisions about their futures. The project provides a solid solution for automated result analysis and career path advice, showcasing the usefulness of RPA and machine learning in educational contexts.