| Data4Good 2025 | Building Trust in Educational AI through Factuality Verification |
Built an ensemble factuality-verification pipeline for educational AI responses, achieving 99.03% balanced accuracy on a held-out competition test set.
Aligned with UN SDG 4 through safer and more trustworthy AI-assisted learning.
| Open IIT Data Analytics | Sponsored by Brillio |
Predicted popularity of 4000+ songs using ensemble models; secured 1st place out of 48 teams.
| HackGT 12: Crypt of Data | BackpackMate AI |
Developed BackpackMate AI — a travel-planning phone agent built with the Mastra Framework and LLM-based retrieval pipelines.
Optimizing EV charging infrastructure across urban regions using spatial clustering and demand analysis.
Published in Engineering Applications of Artificial Intelligence, 2023
Although many studies have been conducted on distracted driving, the growing number of accidents on roads demands further serious attention. Most real-world distracted driving data are unlabeled and high-dimensional, making analyses complex. There is a lack of proper indices to understand the perilousness of distracted driving, making it difficult to identify roads or neighborhoods with higher risk of accidents. Previous studies focused either on spatio-temporal or praxeological factors separately, but did not consider both together. Furthermore, crisp rule extraction and interpretation are largely missing in the literature.
Published in Decision Support Systems, 2025
Assessing cybersecurity policies is crucial for organisations to combat evolving cyber threats. The absence of comprehensive datasets has prevented prior studies from analysing cybersecurity policy risks. Past studies also neglected temporal information in policies, and attention-based analyses often lack automated determination of optimal attention units. Furthermore, the absence of interpretability in cybersecurity studies creates a barrier to understanding policy vulnerabilities and developing targeted solutions.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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