Harshitha Sathyanarayanan

How effectively can AI predict AQI trends over time across different geographic regions with varying climates and pollution sources using historical and real-time data?

Started Nov. 15, 2024

Abstract or project description

This project examines how effectively AI can classify air quality using real-time data such as longitude and latitude from various cities and countries. It tests the ability of machine learning models to accurately identify air quality levels in regions with different climates and pollution sources. The study focuses on the practical importance of using AI to improve air quality monitoring and help people understand local pollution levels. By providing accurate and accessible classifications, this research highlights the relevance of AI in addressing environmental and public health issues, showing its potential to contribute to global efforts in tackling air pollution challenges.

Design Analysis Blog

Started Oct. 7, 2022

Abstract or project description

Harshitha will create an educational website that analyzes different user experience and interface choices, including dark patterns and other common design tropes. This website will serve to inform people about design, whether that's to protect themselves or just become better designers.