2024년 충남대 컴퓨터과학적사고 교양 제출 과제

This project predicts the Air Quality Index (AQI) using machine learning techniques. By analyzing historical air quality data and relevant environmental factors, it provides accurate forecasts to help raise awareness and promote healthier living conditions in urban areas.

This is a repository that hosts the tool to calculate the costs of standard observations to upgrade and operate eLTER sites.

This project is part of the MIT 2023 WORLDING workshop, a research and development initiative exploring climate futures at the intersection of documentary, land-use planning, speculative design, and game-engine technologies.