project title

Predicting the air quality for the next 5 days using AI

project description

Predicting the air quality for the next 5 days using AI is an important aspect of our project. By analyzing historical data and other relevant information, we can train a model capable of making predictions about future air quality. These predictions can assist people in making informed decisions about their activities and taking precautions to protect themselves from poor air quality.

The AI model utilizes various algorithms and techniques, such as machine learning and time series analysis, to identify patterns and trends in air quality data. The model learns from historical data and applies this knowledge to predict future values.

The ultimate output of the AI model is a forecast of air quality for the next 5 days. These predictions can be displayed in the app, providing users with easy access to the information and enabling them to make informed decisions regarding their daily activities. It is important to note that the accuracy of the predictions may vary depending on the availability and quality of data, as well as the complexity of the air quality factors included in the model.

By employing AI to predict air quality, we aim to raise awareness about potential risks and empower individuals to take appropriate measures to safeguard their health. It is a valuable tool that can contribute to improving quality of life and overall well-being.

Tech Stack

Client: jQuery, Bootstrap

Server: Python (Flask)

Run Locally

Make sure the following components are installed on Local

python3
pip3

Clone the project

    git clone https://github.com/hro-ict/luchtkwaliteit_team_10.git

Go to the project directory

 cd luchtkwaliteit_team_10

Install dependencies

    pip3 install -r requirements.txt

Start the server

  python3 server.py

The project is now live on localhost:3389