Breatheasy

Breatheasy is a website that provides real-time air quality index (AQI) predictions for various states in India. It uses machine learning models, specifically K-Nearest Neighbors (KNN) and Random Forest, to predict the AQI for different locations. In addition to AQI predictions, the website also displays an overview of the state and live weather conditions.

Key Features

1. Real-time AQI Predictions: Utilizes machine learning models (KNN and Random Forest) to predict the air quality index for different states in India.

2. State Overview: Provides an overview of the state, including information about major cities, population, and geographical features.

3. Live Weather Conditions: Displays real-time weather conditions, including temperature, humidity, wind speed, and precipitation.

Technologies Used

• Machine Learning: KNN and Random Forest models for AQI predictions.

• Web Development: HTML, CSS, JavaScript for front-end development. Django for back-end development.

• Data Visualization: Matplotlib, Plotly for visualizing AQI predictions and weather data.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/breatheasy.git
   

2. Install dependencies:

   pip install -r requirements.txt
   

Screenshots

1. Home page
2. Dashboard
3. Real-Time AQI for States available.
4. Example for AQI Prediction of a Random state with live weather data.

Thank you!!