AeroSense: Air Quality Intelligence 🌍

AeroSense is designed to predict Air Quality Index (AQI) and deliver actionable AI-driven recommendations to improve air quality, enhance sustainability, and promote public health.

Features

• AQI Prediction: Predict AQI using pre-trained models (Neural Network, XGBoost, Random Forest).
• Insights and Recommendations: Generate detailed insights and actionable recommendations based on AQI and environmental factors.

Installation

1. Clone the repository:

   git clone https://github.com/samfusedbits/aerosense.git
   cd aerosense

2. Install dependencies:

   pip install -r requirements.txt

3. Set up API Key:

   API_KEY = "your_api_key_here"

Usage

1. Run the application:

   streamlit run aerosense.py

2. Access the application:

   • Open your browser and go to http://localhost:8501.

ScreenShots

Here are some visual snapshots of the AeroSense application:

Main Interface

Predict AQI from input parameters.

Directly input AQI for quick insights.

AQI Prediction

Reliable AQI predictions using advanced machine learning models.

Insights and Recommendations

Insights and actionable recommendations based on AQI and environmental factors.

Follow-up Questions

Get more details about recommendations and ask follow-up questions for further clarification.

Live Site

You can also access the live site at aerosense.streamlit.app.