This book chapter proposes an AnoGAN-inspired approach tailored for tabular datasets, targeting improved anomaly detection performance beyond common baselines. Publication link: Read on Springer
Face Recognition System is a practical computer-vision pipeline that covers full lifecycle stages: data capture, model training, and live identity recognition. Highlights Captures and curates face samples for training. Trains a recognition model from collected data. Runs real-time identification on live video streams.
Markov Chain Basic is an exploratory NLP project that uses Markov transitions to generate text and study long-run behavior in probabilistic sequence models. Highlights Builds transition maps from input corpora. Generates synthetic text using stochastic state transitions. Serves as an intuition-first bridge into probabilistic NLP.
This publication explains Markov chains with an intuition-first approach and practical examples for state-transition thinking. Publication link: Read on Medium
An accessibility-focused ML prototype that translates blink patterns into actionable commands, designed to support learning interaction for users with physical limitations. Repository/demo assets can be embedded here as the project evolves.
A mental wellness web app mapping anxiety indicators from HAM-A scoring to personalized music recommendations using emotion-aware metadata and fast feedback loops. Repository/demo assets can be embedded here as the project evolves.