PERFORMANCE BASED PLACEMENT PREDICTION SYSTEM

Computer Engineering

Data mining methods has its broad research in the field of education. The overall goal of data mining is to extract data from a dataset and transform it into useful structure for further use. the Placement of students is one of the very important Role in educational institutions. We propose a TPO management system to predict eligible candidate for campus drive. The objective is to analyze previous year's student's historical data and predict placement eligibility of the current students and the percentage placement chance of the institution. We used Decision tree C4.5 Algorithm. Decision tree C4.5 algorithms are applied on Company’s previous year data & current requirement to generate the model and this model can be useful to predict the students’ eligibility in various companies. according to company eligibility criteria we will send the notification to those candidate who are eligible for that campus drive. here we check the eligibility of candidate on basis of percentage & technology .This will help students to identify the category of company in which they are eligible and prepare accordingly in a an efficient manner.

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