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AI Climate Policy Maker

“AI Climate Policy Maker is an AI-powered platform that analyzes climate data and generates actionable policy recommendations, helping governments, researchers, and organizations design effective strategies for sustainable climate action.”

Core trick

Pulls live Open-Meteo weather for a location and prompts an LLM to draft local climate policy suggestions exported as PDF.

Tags

Description

$25
Abdul00YO/Climate-Policy-Maker★ 11 forksPythonMITCreated Aug 22, 2025 · last push Aug 28, 2025

README excerpt

# 🌍 Climate Policy Maker

A modern, AI-powered application designed to generate **climate-friendly policy suggestions** using real-time weather data. Built with a robust **FastAPI backend** and an intuitive **Streamlit frontend**, this tool empowers policymakers, researchers, and environmental enthusiasts to create data-driven, sustainable policies.

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## ✨ Key Features

- **🌦 Real-Time Weather Data**: Fetches live weather information using the Open-Meteo API.  
- **🤖 AI-Driven Policy Suggestions**: Generates tailored climate-smart policies based on local weather conditions.  
- **📊 Interactive Visualizations**: Explore weather trends and policy impacts with Matplotlib and Plotly charts.  
- **📄 PDF Report Generation**: Export AI-generated policies as professional PDF documents.  
- **🧩 Tabbed Interface**: Seamlessly navigate between weather data, policy suggestions, visualizations, and downloads.  

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## 🛠 Tech Stack

- **Backend**: [FastAPI](https://fastapi.tiangolo.com/) – High-performance, asynchronous API framework.  
- **Frontend**: [Streamlit](https://streamlit.io/) – User-friendly interface for data-driven apps.  
- **Weather API**: [Open-Meteo](https://open-meteo.com/) – Reliable, open-source weather data provider.  
- **PDF Export**: [ReportLab](https://www.reportlab.com/) – Dynamic PDF generation.  
- **Visualization**: [Matplotlib](https://matplotlib.org/) / [Plotly](https://plotly.com/) – Rich, interactive charts.  

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## 📂 Project Structure

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Climate

Team