PM2.5 Forcaster

PM2.5 Forcaster is a project aimed at predicting PM2.5 concentration using various environmental factors like minimum temperature, maximum temperature, wind speed, wind direction, precipitation, etc.

Table of Contents

• Getting Started
  • Prerequisites
• Built With
• Authors
• License
• Acknowledgements

Getting Started

You can git clone this repository and install all the dependencies using pip install -r requirements.txt command.

Prerequisites

• The easiest way to install most of the dependencies or libraries for training the model is using Anaconda.
• To run the app, you will need to execute flask run
• Visit localhost:5000 to view the application.

Built With

• Anaconda
• JupyterLabs
• Tensorflow
• Scikit-learn
• Flask
• HTML
• TailwindCSS and DaisyUI (for styling)
• Pycharm (IDE)

Authors

• Aditya Kumar Singh (GitHubProfile)

License

MIT