Air Quality Prediction and Analysis in India 🌍

This project focuses on predicting air pollution levels in India using machine learning and data science techniques.

It was developed as part of my academic work, and the related research paper is currently under conference submission.

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📌 Project Overview

Air pollution is a major environmental challenge in India.
This project aims to:

• Analyze air quality trends across cities
• Predict AQI levels using machine learning models
• Provide insights through visualization and evaluation metrics

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🛠 Tech Stack

• Python
• Pandas, NumPy
• Matplotlib / Seaborn
• Scikit-learn
• Machine Learning Regression Models

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📂 Key Features

• Data preprocessing and cleaning
• Exploratory Data Analysis (EDA)
• Model training and evaluation
• AQI prediction based on pollutant levels
• Performance comparison of algorithms

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📊 Results

The model achieved reliable prediction performance after optimization and tuning.

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🚀 How to Run

1. Clone the repository:

git clone https://github.com/Dheetchana04/air-quality-prediction-data-science-

2. Install required libraries:

   pip install -r requirements.txt

3. Open colab and run

📌 Research Paper

📄 Paper Title: Air Quality Prediction and Analysis in India Status: Under Conference Review / Yet to be Published (IEEE Conference)

✨ Future Improvements

Deep learning-based AQI forecasting (LSTM)

Deployment as a web dashboard

Real-time data integration

👩‍💻 Author

Dheetchana K