Machine Learning Project to predict the Air Quality Index
- Demo Video 1: Youtube Link
- Demo Video 2: Tensorflow 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.
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.
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:
or
stremlit run frontend/main.py
orstremlit run exp/main.py
streamlit run DL_Models/main.py
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 branchDL_Models
: Tensorflow trained AQI Models