This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.
This project is an app that lets the user control the mouse pointer of their computer using their eye gaze. The app uses multiple pre-trained computer vision models from the openvino model zoo in a structured pipeline to detect the user's eye gaze and move the mouse pointer in the right distance and direction.
Using web scraped data from one of India's largest car website, Cardekho, building a prediction service with feature, training and inference pipelines.
An end to end prediction service for flagging credit card fraud.
This project is a handcrafted end-to-end Optical Character Recognition (OCR) pipeline built to transcribe my handwritten journal entries into digital text—using PyTorch, Faster R-CNN, AWS Lambda, and iOS Shortcuts. It's a personal and technical showcase of deep learning, MLOps, and full-stack AI deployment. Includes in-depth technical report.
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