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-air-quality-prediction-pm25-aqi-python-flask/ 💰 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 📱 Follow CodeAj Marketplace for more projects: YouTube: @codeajmarketplace Website: https://projects.codeaj.com #AirQualityPrediction #MachineLearning #Python #Flask #FinalYearProject #DataScience #AQI #PM25 #IndiaAirQuality #PythonProjects #CollegeProject #RandomForest #WebDevelopment #MLProjects #EnvironmentalScience Keywords: air quality prediction, AQI prediction python, PM2.5 forecasting, machine learning projects, flask web app, final year project, India pollution, random forest algorithm, python ML project, college project ideas air quality prediction, AQI prediction, PM2.5 forecasting, India air pollution, python machine learning, flask web application, final year project, college project, data science project, random forest algorithm, python flask, air quality index, environmental monitoring, ML project, scikit learn, pollution prediction, AQI forecasting, python project 2025, machine learning tutorial, web development, bootstrap project, chart js, real time prediction, smart city project, environmental science, CSE project, IT project, data science, python tutorial, flask tutorial, ML deployment, kaggle project, pollution monitoring, air quality app, python web app, final year CSE, codeaj marketplace, indian cities AQI, health impact prediction, pollution levels, atmospheric science, predictive analytics, supervised learning, regression model, feature engineering, data visualization, interactive dashboard.​