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Engineered an AI model utilizing advanced Computer Vision and Google Generative AI to solve math problems by recognizing hand gestures, offering real-time, accurate solutions through an intuitive interface inspired by Apple Tablet calculators.
Comp is an educational compiler project. The goal of this project is to demystify how compilers work by building one from scratch, showing every phase of the translation pipeline from source code to executable machine code (via C/GCC).
Eigen-Component Analysis (ECA): A quantum theory-inspired linear model for classification and clustering with interpretable feature-to-class mappings. This implementation provides both supervised (ECA) and unsupervised (UECA) algorithms with scikit-learn compatible API. Based on research published in IEEE ISCAS 2025.
Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.