Air Quality Index Prediction using Python & Machine Learning | Final Year Project | AQI PM2.5

🌍 India Air Quality Index (AQI) Prediction System | PM2.5 Forecasting with Machine Learning

Predict PM2.5 levels and Air Quality Index for Indian cities using advanced Random Forest algorithm with real-time predictions and interactive visualizations. Perfect final year project for Computer Science and Data Science students!

🔥 Project Highlights:
✅ Real-time PM2.5 and AQI prediction using Random Forest
✅ 6-level AQI classification (Good to Severe)
✅ Interactive data visualization with Chart.js
✅ Professional Flask web application with responsive design
✅ Pre-trained ML model with 95%+ accuracy
✅ Health impact dashboard and recommendations
✅ Multi-parameter input system (SO2, NO2, RSPM, SPM)

💻 Technologies Used:
Python | Flask | Scikit-learn | Random Forest | Pandas | NumPy | HTML5 | CSS3 | JavaScript | Bootstrap | Chart.js

📚 Perfect For:

Final year college projects (CSE/IT/Data Science)

Machine learning portfolio projects

Environmental monitoring applications

Smart city solutions

🛒 Want This Complete Project?

Option 1 - WhatsApp: Contact directly on +918603862290
Option 2 - Website: Get instant access at
https://projects.codeaj.com/projects/india...

💰 Starting from just ₹99 with complete source code, documentation, and setup support!

📦 What You'll Get:

Complete Python source code

Pre-trained ML model files

Flask web application

Professional UI templates

Project documentation

System architecture diagrams

Installation guide

Presentation materials

🎯 Real-World Applications:

Smart city air quality monitoring

Healthcare early warning systems

Environmental policy formulation

Public awareness platforms

Industrial emission tracking

📊 Project Features:

Random Forest regression model

StandardScaler normalization

Label encoding for categorical data

Real-time prediction API

Mobile-responsive interface

Color-coded health warnings

State-wise air quality analysis

🏆 Why Choose CodeAj Marketplace?
Industry-standard projects with professional code quality, comprehensive documentation, and deployment-ready solutions. Perfect for students who want to stand out in their academic submissions and build real-world portfolio projects.

⭐ Learning Outcomes:

End-to-end ML pipeline development

Flask web application deployment

Data preprocessing techniques

Interactive visualization implementation

RESTful API development

Production-ready coding standards

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YouTube: @codeajmarketplace
Website: https://projects.codeaj.com

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