🌿 AirPurity Project

AirPurity is an AI-based solution built for the Green Skilled AI seminar (sponsored by Shell Petroleum). It helps analyze and optimize whether Silver Oak trees planted near factories are enough to offset greenhouse gas emissions — now and in the next 2 years. It also suggests how to use land more efficiently for planting.

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✅ What It Does

• Predicts if current trees are enough to offset emissions
• Forecasts emissions for the next 2 years
• Optimizes land usage for planting trees
• Suggests best locations for planting using factory coordinates

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📥 Input Data

• total_land_area: Available area for planting (sq. meters)
• total_trees: Number of Silver Oak trees planted
• emission_current: Current GHG emissions (tons/year)
• emission_future: Predicted emissions for 2 years
• air_quality_index: Air quality near the factory
• emission_quality: Type of gases emitted
• latitude, longitude: Location of the factory

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🎯 Output

• trees_sufficient: True or False (Are trees enough for emission control?)

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🛠 Tech Stack

• Python: For backend and machine learning
• Pandas, Scikit-learn, XGBoost: For data handling and model building

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👨‍💻 Created By Ashutosh – Engineering student, passionate about AI and sustainability.

📌 Future Plans Use real-time air quality data

Include tree growth rates

Add satellite imagery for better analysis