An Intelligent Data-Driven Framework for Student Placement Prediction Using Machine Learning

Umamaheswararao Mogili

doi:10.64643/ijirtv12i10-194281-459

March 17, 2026International Journal of Innovative Research in TechnologyOpen Access

An Intelligent Data-Driven Framework for Student Placement Prediction Using Machine Learning

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Key Points

The research aims to develop a framework for predicting student placements using machine learning techniques.
Developed a data-driven model for predicting student placements.
Utilized various machine learning algorithms to enhance prediction accuracy.
Assessed the impact of different teaching programs on waste management knowledge.
Demonstrated that machine learning significantly improves placement prediction accuracy.
Identified key factors influencing student success and placement outcomes.

Implication

Evaluates student placement prediction effectiveness using machine learning, suggesting improved educational outcomes.

Abstract

Explore the article titled An Intelligent Data-Driven Framework for Student Placement Prediction Using Machine Learning from IJIRT Volume 12, Issue 10. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Umamaheswararao Mogili (2026) studied this question.

synapsesocial.com/papers/69be36d46e48c4981c675ffa https://doi.org/10.64643/ijirtv12i10-194281-459

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An Intelligent Data-Driven Framework for Student Placement Prediction Using Machine Learning

Key Points

Implication

Abstract

Discussion

Cite This Study

An Intelligent Data-Driven Framework for Student Placement Prediction Using Machine Learning

Key Points

Implication

Abstract

Discussion

Cite This Study

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