An intelligent scheduling application leveraging LangChain4j and the Google Calendar API to optimize workflow and time management. LifeSync dynamically organizes and prioritizes events, suggests new activities based on user goals or hobbies, and generates assistive materials tailored to specific tasks, empowering users to streamline their schedules, maximize productivity, and make informed time management decisions.

Collaborated with NASA GeneLab to analyze DNA damage from space radiation using the BPS Microscopy Dataset. Developed machine learning models leveraging clustering techniques like PCA, t-SNE, and k-means to identify radiation-induced DNA damage in cellular images. Explored deep learning with Residual Networks to enhance feature extraction and improve data visualization. The project revealed limitations in k-means clustering for this task, opening new directions for alternative methodologies, including hierarchical clustering and advanced preprocessing techniques. This research contributes to astronaut health and safety by advancing tools for identifying and mitigating the effects of space radiation.

This project is an innovative hydration assistant that empowers users to optimize their daily water intake for better health and well-being. By leveraging personal data from Apple HealthKit, including biometrics like weight, age, and activity levels, along with real-time weather information, the app provides precise, dynamic hydration recommendations tailored to each individual. Unlike typical water tracking apps, which rely on static input, this system adapts to factors like exercise, local climate, and personal preferences, offering actionable suggestions for foods and drinks that help users meet their hydration goals. Built with Ionic and Firebase, this solution transforms how people think about hydration, offering a smarter, more personalized approach to wellness that supports both immediate health and long-term vitality.