Patronizing and Condescending Language Detection
Course: Natural Language Processing @IISERB
Course Instructors: Prof. Tanmay Basu, Prof. Jasabanta Patro
Worked on detecting PCL (Patronizing and Condescending Language) various popular using machine learning methods.
The project involved analyzing and comparing performances of various statistical methods and deep learning models.
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Effects of Sampling on the HSIC Dependence Measure
Course: Deep Learning @IISERB
Course Instructor: Prof. Vinod Kurmi
Investigated the impact of different sampling methods on the performance of the Hilbert-Schmidt Independence Criterion (HSIC),
a measure used for testing statistical independence for explainable methods.
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Algorithms for Fire Evacuation Planning
Course: Artificial Intelligence @IISERB
Course Instructor: Prof. Vaibhav Kumar
Developed algorithms to optimize evacuation strategies during fire emergencies, ensuring efficient movement of people to safe zones while minimizing risk, using Djikstra Algorithm.
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Counterfactual Generation Analysis
Course: Advanced Programming in Python @IISERB
Course Instructor: Prof. Parthibhan Srinivasan
Analyzed methods of generating counterfactual instances in machine learning models to explain model behavior and improve interpretability, with applications in fairness and accountability.
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Identifying Crimes in Chicago
Course: Data Science and Machine Learning @IISERB
Course Instructor: Prof. Tanmay Basu
Worked with Chicago crime data to develop unsupervised machine learning models capable of predicting crime occurrences based on temporal data, aiming to enhance public safety.
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Leadership Romanticisation in Sports
Summer Institute in Computational Social Science @IIITH
Advisor: Prof. Ponnurangam Kumaraguru
Explored the concept of leadership romanticization in sports, analyzing the effects of perceived leadership qualities on team performance and public perception using statistical analysis and modeling.
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