AI-Driven Scholarship Finder

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Anuj Nagare; Apeksha Wadghule; Gayatri Mule; Shreya Tagalpallewar; Prof. S. L. Dawkhar

AI-Driven Scholarship Finder

Authors: Anuj Nagare, Apeksha Wadghule, Gayatri Mule, Shreya Tagalpallewar, Prof. S. L. Dawkhar

Unique Paper ID: 178672
Volume: 11
Issue: 12
PageNo: 5500-5505

Keywords: AI-Driven Scholarship Finder Data Verification Financial Aid Machine Learning Scholarship Recommendation Student Profiles.

Abstract:
In an increasingly competitive academic landscape, scholarship management systems play a crucial role in ensuring equitable access to educational opportunities. This paper presents an AI-driven scholarship finder that streamlines the scholarship recommendation process by analyzing student profiles and verifying key eligibility criteria such as income tax records, caste certificates, and academic performance. By leveraging machine learning algorithms, the system matches students with relevant scholarships, enhancing transparency and efficiency for applicants, institutions, and funding bodies. Through the integration of automated data verification and intelligent recommendation mechanisms, this work aims to improve the accessibility and effectiveness of scholarship distribution, contributing to a more inclusive education ecosystem.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 5500-5505

AI-Driven Scholarship Finder

Available:https://ijirt.org/article?manuscript=178672

09 Nov, 2024

AI-Driven Scholarship Finder

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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