The egaia-core repository serves as the foundational framework for Project EGaia, encompassing essential algorithms, data models, and tools for ecological restoration initiatives.
The GCCS-Core repository serves as the foundational framework for the Global Climate Control System (GCCS). It encompasses the core algorithms, data models, and APIs necessary for real-time climate monitoring, predictive analytics, and geoengineering interventions.
This project aimed to use satellite imagery and machine learning to track changes in water bodies over a four-year period, with the ultimate goal of informing decision-making and management strategies to preserve these resources in the face of climate change. The project utilized multiple datasets to gather a comprehensive picture of water bodies.
An interactive data science dashboard for real-time climate analytics and ML predictions. Built with Next.js, React, TypeScript, and Tailwind CSS for performance and scalability. Features correlation matrices, predictive modeling, and an interactive global map. Showcases statistical analysis, machine learning, and modern web visualization.
Data Visualization on Global Climate Trends
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