firevizz 0.1.1

A Python library for visualizing and analyzing fire detection data

🔥 FireVizz

A Python library for visualizing and analyzing fire detection data from sensor networks.

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✨ Features

• 🗺️ Interactive map visualization of fire sensor data
• 🤖 Real-time fire prediction using machine learning models
• 🌡️ Heatmap visualization for various sensor parameters
• 📤 Export of fire prediction coordinates and sensor data
• 🔌 Support for multiple sensor types (CO, air quality, temperature, etc.)

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📦 Installation

pip install firevizz

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🚀 Usage

from firevizz import FireVizz

# Initialize the visualizer
visualizer = FireVizz(
    data_path="sensor_data.csv",
    model_path="fire_detection_model.pkl"  # Optional
)

# Create an interactive map
visualizer.create_map("fire_map.html")

# Export fire predictions to CSV
visualizer.export_fire_predictions("fire_locations.csv")

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🤖 Sample ML Model

A sample pretrained SVM model can be downloaded from here tarined on this dataset.

🧾 Input Data Format

The input CSV file should contain the following columns:

• 📍 latitude
• 📍 longitude
• 🧪 co_level
• 🌫️ air_quality
• 🌡️ temperature
• 💧 humidity
• ⚖️ pressure
• 🧴 voc_level

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📊 Output

1. Interactive HTML map showing:

   • 📍 Sensor locations
   • 🔥 Fire predictions
   • 🌡️ Heatmaps for various parameters
   • 🧭 Layer controls for toggling different visualizations

2. CSV file containing:

   • 🌍 GPS coordinates of predicted fire locations
   • 📋 Associated sensor readings

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🖼️ Example

Here’s a preview of the generated interactive fire map:

Example fire prediction and sensor overlay map.

ℹ️ Don't forget to open fire_map.html in your browser to explore the interactive features!

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📄 License

📝 MIT License