Explore my skills, projects, and experience in Python, React, Bubble, TUI, and Airtable.
In this short project we presented the “Breathing with a Hedgehog” concept, which is a system to guide breathing sequences to facilitate relaxation. The breathing exercise is enabled by tangible user interface techniques implemented into a modified hedgehog stuffy. The tactile and visual feedbacks are used to guide the user's breathing providing the “box breathing” technique. We have detailed the research and development and our process to implement a heart rate sensor input and output methods using tactile and visual feedback as well as our first findings through public demonstrations. These indicate that users were presently surprised by the juxtaposition of the spiky first impression yet eventually pleasant experience which helped them to gain confidence to synchronize their breathing with the system and reduce anxiety.
To decide whether to visit a page, people take into account how much relevant information they are likely to find on that page relative to the effort involved in extracting that information. Information foraging was developed at Palo Alto Research Center by Peter Pirolli and Stuart Card in the late 1990s and was inspired by animal behavior theories about how animals forage for food.
Ontology provides a systematic framework for organizing data, making it comprehensible and
accessible. For this project, ontologies structured food-related data, categorizing recipes, crop
details, cuisines, and preferences. Semantic networks visualized these relationships, offering
users clear cues on the connections between various elements.
This project explores the intersection of ontology, information foraging, and semantic networks to create a structured and intuitive food knowledge platform. By leveraging these concepts, the project enhances how users navigate and interact with complex datasets. The platform showcases recipe recommendations, crop preferences, and semantic networks, allowing users to uncover hidden connections and make informed decisions.
This project is a dynamic web crawling application that allows users to analyze web pages starting from a user-defined URL. It features an intuitive user interface that displays real-time search results and an interactive graph visualization, showcasing the relationships between crawled web pages. By combining functionality with aesthetics, this project offers a comprehensive tool for understanding web structures and analyzing data.