Survey and assessment of web-based platform for checking settlement-ability of students of engineering and natural sciences

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Vijay Kalbande, Shitalkumar Rawandale, Arvind Bodhe, Naresh Tawale, Chandrahas Handa


Nowadays engineering students are losing their campus placement opportunities provided by the institutes due to non-awareness of the market requirements. In this research, the authors try to develop an online platform for checking placement capability as well as level of skills required for the industry of engineering students in campus placement for IT Sector. Data was collected from the Final year engineering students of Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur. Primary data of students ‘skills performance was collected by using pen and paper test and Secondary data i.e., placement record was collected directly from the respective institutes. The various models developed and finalized one based on research constraints and R2 value. Online platform was developed for Binary Logistic Regression Model to predict placement capability of engineering students. This online platform will support institutes as well as students to understand the level of preparation of students for upcoming campus placement season and make systematic plan to enhance required skills up to optimum level.

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