
Developed an AI-powered system that interprets webcam footage to recognize exercises in real-time and count repetitions. Designed a guided data gathering pipeline to create unique training data for deep learning models, contributing to personalized fitness solutions.
Created an application to track and categorize various expenses (yearly, monthly, weekly, daily), enabling users to monitor spending patterns and identify areas for cost reduction.
Developed an immersive VR application providing an engaging virtual exploration of campus facilities, classrooms, and communal spaces.
Analyzed and visualized electric vehicle population data using data preprocessing, feature engineering, and machine learning techniques. Utilized PySpark for distributed data processing and Tableau for generating insightful visualizations.
Implemented a deep supervised edge detection and optimization method for precise segmentation of salt bodies in seismic imaging, aiding oil and gas reservoir identification. Designed an edge prediction branch to enhance feature learning through boundary loss supervision.
Developed a system to manage information regarding blood donors, blood groups, and donation camps. Facilitated easy tracking and searching for suitable donors by recipients, creating an efficient e-information platform.