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README.md

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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.
+
+---
+
+## 🎯 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  
+
+---
+
+## 🧠 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  
+
+---
+
+## 🏗️ System Architecture
+
+```text
+            +----------------------+
+            |   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      |
+            +----------------------+