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:

Clone the repository:

git clone https://github.com/ShubhamKNIT/AlgoMinds

Install dependencies:
```
pip install -r requirements.txt
```

Run the code:

stremlit run frontend/main.py

stremlit run exp/main.py

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