Air Quality Index (AQI) Prediction Using Machine Learning

Project Overview 🌍

Delhi’s severe air pollution, particularly in winter, necessitates accurate Air Quality Index (AQI) predictions. AQI ranges from 0 to 500, with higher values indicating greater health risks. This project uses machine learning to predict AQI levels, offering timely alerts and preventative actions.

Key Features:

• Data Processing: Cleaning and normalizing AQI datasets from major Indian cities such as Delhi, Bangalore, Kolkata, and Hyderabad.
• Predictive Modeling: Training machine learning models (Random Forest, Gradient Boosting, etc.) to forecast AQI levels.
• Imbalance Handling: Using SMOTE to address class imbalances in AQI_Bucket values.
• Evaluation: Evaluating models using accuracy, precision, recall, and confusion matrices.

The project aims to provide accurate AQI predictions to help authorities and communities take timely action to combat air pollution.

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Project Structure 📁

.
├── data/                 # Datasets for AQI data
├── notebooks/            # Jupyter notebooks for data analysis and experimentation
├── src/                  # Source code for the project
│   ├── data_processing.py
│   ├── model_training.py
├── README.md             # Project documentation
└── CONTRIBUTING.md       # Contribution guidelines

Getting Started 🤗🚀

To contribute to the project, follow these steps:

Fork the Repository:

Click the fork button at the top right of the repository page.

Clone Your Fork:

Clone the forked repository to your local machine.

git clone https://github.com/your-username/hacktoberfest2024.git

Navigate to the Project Directory:

cd hacktoberfest2024

Create a New Branch:

git checkout -b my-new-branch

Make Your Changes:

Add your features or improvements to the project.

Commit Your Changes:

git add .
git commit -m "Add relevant message here"

Push to Your Branch:

git push origin my-new-branch

Create a Pull Request:

Go to your forked repository on GitHub and create a pull request to the main repository.

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Contribution Guidelines 📚

We welcome your contributions! Please follow these guidelines:

• Creativity Allowed: Submit pull requests even if they break the rules—we may merge them anyway!
• Preserve Existing Content: Don’t remove existing content.
• Code Style: Your code can be neat, messy, or complex—as long as it works!
• Add Your Name: Remember to add your name to the contributorsList file.
• Keep it Small: Small pull requests help prevent merge conflicts.

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Avoiding Conflicts (Syncing Your Fork) 🔄

To keep your fork up to date with the main repository:

Add Upstream Remote:

git remote add upstream https://github.com/clubgamma/hacktoberfest2024.git

Verify the New Remote:

git remote -v

Sync Your Fork with Upstream:

git fetch upstream
git merge upstream/main

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Add Your Name 🌟

Please add your name to the CONTRIBUTING.md file using the following format:

Name: [YOUR NAME](GitHub link)

• Place: City, State, Country
• Bio: Who are you?
• GitHub: [GitHub account name](GitHub link)

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Pull Request Labels

We have the following PR labels:

• level 1 - Basic level contributions
• level 2 - Intermediate level contributions
• level 3 - Advanced level contributions
• hacktoberfest-accepted - Contributions accepted for Hacktoberfest

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We look forward to your contributions! 🎉