• Yogendra Nishad
• Amit Thakur
• Ashok Kumar Behera

This review paper explores the innovative application of genetics clustering techniques for the filtration and analysis of internship and placement data. With the increasing emphasis on data-driven decision-making in educational institutions and the corporate world, the need for effective methods to filter and analyze internship and placement data has grown significantly. This paper presents a comprehensive overview of the genetic clustering-based approach, its theoretical foundation, practical implementation, benefits, and challenges. The synthesis of existing research and case studies demonstrates the potential of genetics clustering as a powerful tool for enhancing the quality of decision-making processes in the context of student internships and placements.

Genetics Clustering, Data Filtering, Internship, Placement, Decision-Making

"A Genetics Clustering-Based Method for Filtering Internship & Placement Data: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d737-d740, November-2023, Available :http://www.jetir.org/papers/JETIR2311391.pdf

"A Genetics Clustering-Based Method for Filtering Internship & Placement Data: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd737-d740, November-2023, Available at : http://www.jetir.org/papers/JETIR2311391.pdf