2024년 충남대 컴퓨터과학적사고 교양 제출 과제
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.
Science, Maths, Environmental Science, Games. Developed using Scratch programming (2017-2018)
An AI-powered environmental monitoring system for Izmir Bay. Integrates simulated satellite water quality indices and meteorological data to predict odor risk levels. Built with Python and FastAPI to provide actionable insights for urban sustainability.
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.
Impact of population on forest loss in Mau Forest, Kenya using Machine Learning and Mathematical Modelling Approach
This is a repository that hosts the tool to calculate the costs of standard observations to upgrade and operate eLTER sites.
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