Recipe App - RNN-based Recipe Suggestion
Python application that takes input queries (ingredients) and suggests recipes through an RNN model
Python application that takes input queries (ingredients) and suggests recipes through an RNN model
OpenCV-based facial recognition application that takes attendance based on facial features detected through the HOG method
Application that generates depth maps from monocular images for autonomous electric vehicles
Python program that detects individual people from video frames using YOLO and Mediapipe pose detection
Final year project on optimizations to clustering using Reversible Cellular Automata
An automatic personality recognition system trained and running on Intel oneAPI Optimization for Tensorflow and PyTorch
A comprehensive platform that leverages AI to deliver hyper-personalised financial insights and product recommendations
Identity impersonation detection web application using ML models for speech, language, and emotion detection
Evaluated alignment methods for large language models across 10+ languages, focusing on fairness, robustness, and safety
Automated evaluation pipeline assessing environmental and ethical alignment across large language models
Published in Understanding Social Behavior in Dyadic and Small Group Interactions, PMLR 173:53-73, 2022
This paper presents personalized models for automatic personality recognition from self-reported data.
Published in Cellular Automata and Discrete Complex Systems (AUTOMATA 2023), 2023
This paper presents an optimized approach to clustering using reversible cellular automata.
Published in Proceedings of the 1st International Workshop on MRAC 2023, ACM MM conference, 2023
This paper presents generalized methods for bias mitigation in personality computing applications.
Published in IEEE Transactions on Affective Computing, 2024
This paper presents novel approaches for generalized and incremental bias mitigation in personality computing systems.
Published in ACM FAccT 2026, 2026
We investigate whether LLM agents function as payoff-sensitive strategic actors or as identity-driven role followers, showing that representational design choices are not implementation details but governance decisions.
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Teaching Assistant, National Institute of Technology, Tiruchirappalli, 2023
Teaching Assistant for Principles of Programming Languages course. Class size: 75 students.