AlgoMinds

Machine Learning Project to predict the Air Quality Index

• Demo Video 1: Youtube Link
• Demo Video 2: Tensorflow Model

Live Model

• Experimental Model: https://aqisgd-model.streamlit.app/
• Main Model: https://algominds-aqi-predictor.streamlit.app/
• Tensorflow Model: https://aqi-nn.streamlit.app/

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