ClimateMacro is an AI-powered Climate Intelligence and Monitoring Platform designed to transform weather and climate data into meaningful insights through Artificial Intelligence, Machine Learning, and data analytics. The platform integrates multiple capabilities, including a Climate Intelligence Dashboard, Rainfall Analytics, Weather Insights, and Weather Forecasting, providing a unified workspace for exploring weather patterns, analysing rainfall information, and supporting predictive climate analysis. It aims to make climate-related information more accessible and useful for research, environmental monitoring, and informed decision-making.
A key feature of ClimateMacro is its AI Climate Assistant, which leverages Generative AI and Retrieval-Augmented Generation (RAG) to enable users to interact with climate-related research documents using natural language. Users can upload and index PDF documents and receive document-grounded answers with source references. Built around technologies such as Python, FastAPI, React, Machine Learning, ChromaDB, and LLM integrations, ClimateMacro explores the potential of intelligent digital systems for climate research, weather intelligence, and sustainable development.
We appreciate Pavitra's contribution and encourage aspiring researchers and technology enthusiasts to explore the platform. For any queries, discussions, or opportunities related to this work, feel free to contact us at info@macroedtech.com.
Explore the Platform: https://climatemacro.netlify.app/GitHub Repository: https://github.com/spavitra2007/climatemacro
