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Machine Learning Project to predict the Air Quality Index

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AlgoMinds

Machine Learning Project to predict the Air Quality Index

Live Model

Certainly experimental model performs better than the Main Model. Checkout these models from the link.

Introduction/Overview

This project aims to develop machine learning models to predict AQI. The models are trained on AQI Dataset dataset and evaluated based on mean_squared_error.

Getting Started

To get started with the project, follow these steps:

  1. Clone the repository:
    git clone https://github.com/ShubhamKNIT/AlgoMinds
    
  2. Install dependencies:
    pip install -r requirements.txt
    
  3. Run the code:
    streamlit run frontend/main.py
    
    or
    streamlit run exp/main.py
    
    or
    streamlit run DL_Models/main.py
    

Project Structure

The project directory is structured as follows:

  • data/: Contains dataset(s) used in the project.
  • models/: Contains machine learning models implemented in the project.
  • images/: Contains results obtained from model training and evaluation.
  • exp/: Contains experimental model which perform certainly better than the model on the main branch
  • DL_Models: Tensorflow trained AQI Models