View Proposal

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Proposer

Rosalind Deena Kumari

Title

Scholarship Eligibility and Recommendation System Using Data Analytics (ISDA)

Goal

To develop a web-based Scholarship Eligibility and Recommendation System that automatically evaluates student eligibility for scholarships and recommends suitable scholarship opportunities based on academic performance, financial background, co-curricular achievements, and other predefined criteria.

Description

The Scholarship Eligibility and Recommendation System is an intelligent decision-support platform designed to assist students in identifying scholarships for which they qualify. Currently, students often spend considerable time searching through multiple websites and manually checking eligibility requirements, which may lead to missed opportunities. The proposed system centralizes scholarship information and automatically matches students with suitable scholarships using predefined eligibility rules and data analytics techniques. Students can create profiles containing academic results, financial information, extracurricular activities, and demographic details. The system evaluates eligibility, ranks scholarship opportunities, and provides personalized recommendations. Administrators can manage scholarship information, monitor application statistics, and generate analytical reports to understand application trends and student eligibility patterns. Advanced versions of the system may employ predictive analytics to estimate the likelihood of scholarship success based on historical application data

Resources

Data Analytics tools, development tools, Web Server or Cloud Hosting, Data set resources

Background

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Rosalind Deena Kumari

Keywords

data analytics, decision support system, predictive analysis

Degrees

Bachelor of Science in Computing Science