Born and raised in Kailua Kona on the west side of the Big Island, Janelle graduated from Hawaii Preparatory Academy in 2017. She is currently going into her sophomore year at Lehigh University in Bethlehem, Pennsylvania where she is pursuing an integrated degree in mechanical engineering and product design. While at Lehigh, Janelle is apart of her school’s Formula One SAE team where she is a member of the Aerodynamic Design team. She is also the Vice President of the Co-Ed Club Water Polo team and a member of the Pi Beta Phi sorority. She is very interested in the Aerospace field as well as environmental science, and renewable energy. In her free time, she likes to snorkel and go hiking with her friends.
Home Island: Big Island
Institution when accepted: Lehigh University
Akamai Project: Data Visualization of Water Quality Data Abstract
Project Site: Akabotics LLC
Mentors: Monica Parks, Dr. Newt Parks
Waterway contamination is a major public health safety issue that affects millions of people worldwide. In America, some of the most polluted waterways are closely inhabited by thousands of communities. Focussing on recent waterway contamination in Hawaii, Akabotics LLC works to remedy this problem with amphibious, autonomous robots that collect water quality data and restore waterways. Akabotics LLC required a way to view their collected water quality data in realtime, on site, and in remote locations for better water quality assessments and in-the-field action. This summer at Akabotics LLC, I established a live streaming, Internet of Things connection between the water quality data, a data visualization platform, and a scalable database. Internet of Things (IoT) is a network of physical devices embedded with a connectivity software that enables them to connect and exchange data with each other. The data visualization and database platform is built to display and store sensor data ranging from dissolved oxygen, electric conductivity, oxygen reduction potential, temperature, pH, and turbidity. These sensors transmit their data wirelessly through IoT and into the data visualization and database platform, which is designed through Microsoft Azure. To establish this connection, I used a Wi-Fi microchip connected to an embedded controller, or a single board computer. Once the IoT connection is made, the water quality sensor data is continuously live streamed into a web-based, cloud computing platform which sends the data simultaneously to a scalable database, and data visualization component. With this data live streaming, it offers Akabotics LLC the power to assess the water quality data on-site and establish an accurate and realtime approach to solving waterway contamination.