Paper Title

College Admission Predictor

Article Identifiers

Registration ID: IJNRD_194300

Published ID: IJNRD2305298

DOI: Click Here to Get

Authors

Aarti Nivruti Kadam , Pratiksha Mahadev Sonavane

Keywords

College, Admission, Seats, Admin

Abstract

College Admission Predictor is a web based system in which students can register their marks along with their personal information. This helps to predict their admissions in colleges. Administrator can add the college details and their cut off details. Using this System, the entrance seat allotment becomes easier and efficient. It helps students to make right decisions for choosing their college. In which students can register with their personal information as well as marks details to prediction the admission in colleges and the administrator can allot the seats for the students. Administrator can add the college details and the batch details. Using this Application, the entrance seat allotment became easier. The main advantage of the project is the computerization of the entrance seat allotment process. Administrator has the power for the allotment. The total time for the entrance allotment became lesser and the allotment process became faster. It helps student for making decision for choosing a right college.

How To Cite (APA)

Aarti Nivruti Kadam & Pratiksha Mahadev Sonavane (May-2023). College Admission Predictor. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), c772-c774. https://ijnrd.org/papers/IJNRD2305298.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : c772-c774

Other Publication Details

Paper Reg. ID: IJNRD_194300

Published Paper Id: IJNRD2305298

Downloads: 000121987

Research Area: Engineering

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305298.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305298

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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