Wildire AIM

Wildfire AIM (AI Mitigation)

• Wildire mitigation and prevention system, powered by Microsoft Azure AI Technologies
• Developed for the AI Innovation Challenge in June 2025

About

• Wildfire AIM was built as a RAG (Retrieval Augmented Generation) Search Chat Application.
• Its focus is on promoting prescribed burning as a wildfire prevention and mitigation method, as practiced by the Karuk Tribe of Northern California.
• Our system provides culturally sensitive guidelines for US government agencies to expand the use of prescribed burning in cooperation with native tribes.

Tech Stack

• Frontend: Python, Bootstrap
• Backend: Python, Flask
• Azure AI Backend: Configured through Azure Portal (see ai-backend for details)

Project Presentation

• https://speakerdeck.com/vuinguyen/wildfire-aim-ai-mitigation

Demo Video

• https://bit.ly/WildfireAIM-Demo

Project Architecture

Running our project

Wildfire AIM is a one-page web application built with Flask and Bootstrap to provide information on wildfire management, specifically focusing on prescribed burning. Users can search through a Q&A database to learn about wildfire management techniques. Project Structure WildfireAIM/ ├── backend/ │ ├── wildfire_app.py │ └── data/ │ └── data.json ├── frontend/ │ ├── templates/ │ │ └── index.html │ └── static/ │ └── css/ │ └── styles.css ├── README.md └── requirements.txt

Setup Instructions:

Clone the Repository:

git clone https://github.com/ThanaRekan/WildfireAIM.git

cd WildfireAIM

Set up a Virtual Environment (optional but recommended):

python -m venv venv

source venv/bin/activate

On Windows:

venv\Scripts\activate

Install Dependencies:

pip install -r requirements.txt

Run the Application:

python backend/wildfire_app.py

Open a browser and navigate to http://127.0.0.1:5000.

Using the Application:

The homepage features a hero image and a search bar. Enter terms like "prescribed burning" or "regulatory" to filter Q&A content. Results are displayed in an accordion format, with questions as headers and answers expandable.

Data Customization

Edit backend/data/data.json to add more Q&A pairs in the format:

{ "question": "Your question here", "answer": "Your answer here with <
br> for line breaks" }

Dependencies:

• Flask: Backend web framework

• Bootstrap 5.3.0: Frontend styling (loaded via CDN)

Contributing:

• Fork the repository.

• Create a new branch:

git checkout -b feature-branch.

• Make changes and commit:

git commit -m "Description of changes".

• Push to the branch:

git push origin feature-branch.

• Create a pull request on GitHub.

License MIT License

For Questions, Contact Our Team:

• Vui Nguyen
• Reka Thanabalan