SmartMarks: Automated Academic Result Processing using Predictive Modeling and Data Analytics
Pooja Jesu
, Dhanshri Pawnikar , Madhura Joshi , Prachiti Kothekar , Prof. Avantika Wadaskar
SmartMarks, Academic Result Processing, Student Performance Analysis, Predictive Modeling, Data Analytics, Automated Evaluation, Power BI Visualization
Abstract—In most colleges, preparing and analyzing student
results manually is a tiring and time-consuming process. It often
leads to calculation mistakes and doesn’t give teachers a clear
idea about how students are actually performing. To solve this,
we created SmartMarks, a simple yet powerful web-based system
that automatically handles result processing, analysis, and report
generation using data analytics and predictive modeling. With
SmartMarks, teachers just have to upload the Excel file that
contains student marks. The system automatically arranges and
cleans the data, performs calculations, and then shows the results
through interactive charts and dashboards. It also identifies
patterns in student performance, predicts future results, and
creates visual reports that help teachers take better academic
decisions and guide students more effectively. The system has
a secure login feature for both students and faculty. Students
can log in to see their own marks and performance reports,
while professors can view and update institutional data that gets
refreshed in real time. SmartMarks is built using HTML, CSS,
JavaScript, PHP, and XAMPP for backend support, and it can
also be connected with Power BI to give deeper insights through
visuals and graphs.
Index Terms—Result Analysis, Academic Performance, Predic
tive Modeling, Data Analytics, Automated Evaluation, Power BI
Visualization
"SmartMarks: Automated Academic Result Processing using Predictive Modeling and Data Analytics", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b454-b458, January-2026, Available :https://ijsdr.org/papers/IJSDR2601156.pdf
Volume 11
Issue 1,
January-2026
Pages : b454-b458
Paper Reg. ID: IJSDR_307017
Published Paper Id: IJSDR2601156
Downloads: 000248
Research Area: Science and Technology
Country: Nagpur, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
