🌍 Air Quality Index (AQI) Monitoring & Prediction System for Indian Cities

In this mini project, I built a Machine Learning based AQI Monitoring and Prediction System using Python, Scikit-learn, and Streamlit.

✨ Features of this project:

📊 AQI Monitoring Dashboard
📈 AQI Trend Visualization
🤖 AQI Prediction using Machine Learning
🏙️ City-wise Air Quality Analysis
⚡ Interactive Pollutant Controls
🧠 Regression + Classification Models

📂 Dataset Used:
Kaggle — https://www.kaggle.com/datasets/rohanrao/air-quality-data-in-india?

🛠️ Technologies Used:

Python
Pandas & NumPy
Matplotlib & Seaborn
Scikit-learn
Streamlit

🤖 ML Models Used:

Linear Regression
Random Forest Regressor
Logistic Regression
Random Forest Classifier

📌 What this project does:
Users can select a city, view AQI trends, and even adjust pollutant values like PM2.5, PM10, NO₂, SO₂, CO, and O₃ to instantly see how AQI changes.

This project demonstrates the complete Data Science pipeline:
Data Cleaning → EDA → Preprocessing → Model Training → Evaluation → Deployment

✨ Thank you for watching!

#MachineLearning #DataScience #PythonProject #AQI #AirPollution #Streamlit #MiniProject #AI #Visualization #ScikitLearn

Видео 🌍 Air Quality Index (AQI) Monitoring & Prediction System for Indian Cities канала BVCOEW- Imparting Knowledge