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🔥 ShakingLens

🌍 Motivation

ShakingLens is a geospatial analytics project that analyzes and visualizes projected wildfire risks across regions in Los Angeles. The goal is to generate actionable insights to help policymakers, researchers, and the general public better understand evolving regional fire risks and prepare for climate-driven wildfire hazards in the coming decades.

You can access the deployed app (Render) here : https://shakinglens.onrender.com

🚀 Features

  • 🌐 Interactive geospatial visualizations of wildfire projections
  • 📊 Real-time graph rendering for intuitive data exploration
  • 🧠 Data-driven insights to support strategic decision-making

⚙️ Installation

To set up the project locally:

  1. Clone the repository:

    git clone https://github.com/ABCoder1/ShakingLens.git
  2. Navigate to the project directory:

    cd ShakingLens
  3. Create and activate a Python virtual environment:

    python -m venv myenv && source myenv/bin/activate
  4. Install the dependencies:

    pip install -r requirements.txt

🧪 Usage

Start the Preswald application:

preswald run

Then visit http://localhost:8501 in your browser to explore the wildfire risk dashboard.

🎬 Demo

Demo

About

A wildfire risk visualization tool for the city of Los Angeles using geospatial data and climate projections.

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