• K.SARANYA
• T.HARISUBASH
• R.INDIRAJITH BALA
• P.JEEVANA ADHITYA

The placement process in higher education institutions plays a major role for deciding the career paths of students. The management of the college placement system and student placement status prediction are the primary objectives of this project. We use a variety of machine learning algorithms to evaluate the accuracy of the placed student list by using student data. For this task, we specifically analyze naive algorithms, random forest, logistic regression, and support vector machines (SVM). The one with greatest accuracy levels among them is logistic regression. The project also involves creating a portal to monitor placed student lists as well as applied student lists. This abstract summarizes our efforts to improve decision-making for both educational institutions and students by streamlining the placement process.

Data modeling, Data preprocessing, Algorithmic analysis, Logistic regression, Random forest

"COLLEGE PLACEMENT SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.f58-f61, March-2024, Available :http://www.jetir.org/papers/JETIR2403509.pdf

"COLLEGE PLACEMENT SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppf58-f61, March-2024, Available at : http://www.jetir.org/papers/JETIR2403509.pdf