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The Engineering College Recommendation System

  • Unique Paper ID: 176345
  • Volume: 11
  • Issue: 11
  • PageNo: 7813-7816
  • Abstract:
  • The college selection process can be daunting for students, particularly when they have to consider various factors such as academic performance, branch preferences, and category-based reservations. This paper presents a Personalized College Recommendation System for engineering admissions, designed specifically for students applying through the Maharashtra Common Entrance Test (MHT-CET). Leveraging a dataset comprising student performance and demographic details, the system employs a Decision Tree algorithm to recommend engineering colleges under the Savitribai Phule Pune University (SPPU). By integrating user-specific inputs such as branch preference, gender, caste, and academic performance, the system offers personalized and data-driven recommendations. The proposed solution aims to simplify the decision-making process for students by providing them with college suggestions that align with their preferences, ultimately improving the efficiency and accuracy of college selection.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 7813-7816

The Engineering College Recommendation System

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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