A web or desktop application that monitors, analyzes, and predicts air pollution using publicly available datasets and machine learning. Users can visualize trends, forecast future AQI, and get recommendations
An interactive, modern web app for exploring, analyzing, and visualizing Air Quality Index (AQI) across Indian cities. ✨
City-wise Heatmaps → Visualize AQI across monitoring stations within a city
Preprocessing → Handles missing values and merges station metadata automatically
Modeling (Future Ready) → Extendable to Random Forest, Logistic Regression, or XGBoost
Evaluation (Planned) → Add confusion matrices, feature importances, and AQI prediction reports
Prediction (Planned) → Train models to predict AQI category for future dates
Modern UI → Streamlit-powered, clean, and responsive dashboard
# 1. Clone the repository
git clone https://github.com/your-username/EcoPredict.git
cd EcoPredict
# 2. Create and activate a virtual environment
python -m venv venv
venv\Scripts\activate # On Windows
# Or
source venv/bin/activate # On Mac/Linux
# 3. Install dependencies
pip install -r requirements.txt
# 4. Run the Streamlit app
streamlit run app.py