README.md

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title: README
emoji: 🏢
colorFrom: purple
colorTo: indigo
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🔥 FireFusion: Bushfire Prediction & Risk Intelligence System

📌 Overview

FireFusion is an AI-powered system designed to predict bushfire risk and support early warning efforts across Victoria, Australia. By integrating multi-source environmental data and applying machine learning models, the project aims to provide accurate, timely, and actionable fire risk insights.

This project combines predictive modelling, data engineering, and real-time data integration to address the growing challenges of bushfire management and misinformation during crisis events.

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🎯 Objectives

• Predict bushfire risk using environmental and temporal data
• Support early warning systems for communities and authorities
• Integrate heterogeneous data sources into a unified pipeline
• Provide reliable, data-driven insights to reduce misinformation

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🧠 Model Description

Approach

The system leverages a combination of:

• Supervised machine learning models (e.g., Random Forest, XGBoost)
• Time-series forecasting techniques
• Geospatial data analysis

Features

• Temperature, humidity, wind speed
• Vegetation and fuel conditions
• Historical fire records
• Geographic and temporal patterns

Future Improvements

• Deep learning models (LSTM, Transformer-based forecasting)
• Satellite imagery integration
• Real-time streaming pipelines

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🏗️ System Architecture

            +----------------------+
            |   Data Sources       |
            |----------------------|
            | Weather APIs         |
            | Sensor Data          |
            | Historical Fire Data |
            +----------+-----------+
                       |
                       v
            +----------------------+
            | Data Ingestion Layer |
            +----------------------+
                       |
                       v
            +----------------------+
            | Data Processing      |
            |----------------------|
            | Cleaning             |
            | Feature Engineering  |
            +----------+-----------+
                       |
                       v
            +----------------------+
            | Modeling Layer       |
            |----------------------|
            | Training             |
            | Evaluation           |
            +----------+-----------+
                       |
                       v
            +----------------------+
            | Deployment Layer     |
            |----------------------|
            | API / Dashboard      |
            +----------------------+