I am Sudhanva M S, a 20-year-old Engineering student at RV University, Bangalore. Driven by a deep passion for leveraging technical skills to create a positive impact, I actively engage in volunteering for social causes, community outreach programs, and charitable events. My dedication to helping others and solving problems is at the core of my pursuits. Committed to continuous personal growth, I seek opportunities to expand my horizons through new hobbies, extracurricular activities, and diverse cultural experiences. Embracing challenges and learning from them is integral to my development. As I look ahead, I aim to utilize my engineering expertise to contribute meaningfully to societal issues. My goal is to pursue a career focused on social impact, applying technical knowledge to address pressing challenges and improve the world. I am eager to connect and collaborate on initiatives that drive positive change. Connect Here.

Poster Abstract

We analyze the "U.S. Pollution Data" dataset from Kaggle to identify and visualize pollution rates across U.S. counties. Focusing on NO2 AQI, ozone AQI, SO2 AQI, and carbon monoxide AQI, we assign weights to each pollutant based on their environmental and health impacts to calculate a pollution score for each county. Given the dataset's substantial size, the use of high-performance computing cluster (HPCC) systems is vital for efficiently processing and analyzing the data. These scores are then visualized on a heat map of the United States. Additionally, an interactive Roxie-powered interface allows users to input a county to retrieve detailed AQI values and pollution scores. Our work offers valuable insights into air pollution patterns to inform policy and improve public health.

Presentation

In this Video Recording, Sudhanva provides a tour and explanation of his poster content.

Visualizing Air Pollution in U.S. Counties Using High-Performance Computing:

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