Projects

Word Level Translation of American Sign Language using Video Vision Transformers Author: Jonathan Ferrari, University of California, Berkeley, USA Fig. 1. American Sign Language Signs In this research, I present a novel approach to enhancing digital inclusivity for the deaf and hard-of-hearing communities through the development of an advanced real-time American Sign Language (ASL) translation tool. Leveraging cutting-edge computer vision technologies and a newly created, comprehensive ASL dataset, our work addresses the critical limitations of current translation tools, which often neglect the cultural and contextual richness of ASL. By integrating diverse video data and signers from various backgrounds, we ensure…

by Jonathan Ferrari, Miles Gillam, and Jason Hilton Awarded 3rd Place in the 2020 Contra Costa County Science and Engineering Fair Purpose  The purpose of our project is to create a simple positive displacement pump. Positive displacement pumps like this are beneficial when water needs to be moved across an uphill distance and a relatively low incline. An example of this could be needing to move water from a river or a body of resting water over a valley so that a nearby town is able to access it. These pumps are especially appropriate for third-world countries. There is no…

by Jonathan Ferrari, Adrienna Cao, and Ryan Cao Awarded 3rd Place in Contra Costa County Science and Engineering Fair Abstract This research paper aims to address the issue of chronic absenteeism in the American public school system. To do so, we perform elementary data analysis on real-world data from one California high school. In our research, we found that there was a negative correlation between GPA and number of classes missed per school year. We represent the graphs visually in both smoothed and unsmoothed format. All data has been anonymized for the purpose of privacy protection of students whose information…