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Prashant Kumar

Prashant Kumar

MCA student and software developer

prashant-kumar-2214
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Joined March 2026
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Summary

Academic/research contributor in explainable AI for remote sensing: listed as a student author on an IEEE conference paper that develops an interpretable pipeline to extract and classify features (including roof types) from drone orthophotos using image-processing, machine learning, and XAI tools. ieee
Affiliated with CMR Institute of Technology's Department of MCA: the person's MCA affiliation appears on the IEEE paper and their name appears in CMR Institute project listings, indicating engagement with institute projects and coursework. ieee+1
Active developer sharing projects on GitHub: maintains a GitHub profile (pkumar3495) which lists repositories including an Android app for the CMRIT college feed and other personal code repositories. github

Education

Projects

Writing

An Explainable AI-Based Model for Feature Identification from Drone Orthophotos

Conference paper presenting an AI-driven pipeline for automatic feature extraction and roof-type categorization from drone orthophotos, combining image-processing (HSV transform, contour extraction, Hough lines), feature engineering, SMOTE for class imbalance, Random Forest and Gradient Boosting classifiers, and explainable AI techniques (LIME, SHAP) for interpretability—applied to datasets under the SVAMITVA scheme.

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