Air Quality Monitoring ML Project | Complete Flask Dashboard Source Code

Описание: Real-Time Air Quality Monitoring System with Machine Learning Prediction - Complete Python Flask Final Year Project with Source Code

This production-ready air quality monitoring dashboard combines Flask web development, machine learning, and interactive data visualizations to create an intelligent environmental monitoring system perfect for final year engineering students.

PROJECT FEATURES:
Live AQI Dashboard with Real-Time Monitoring
AI-Powered Air Quality Index Prediction using Random Forest ML Model
Interactive Charts and Visualizations with Chart.js
Geographic Map showing AQI across 50 Cities using Leaflet.js
Heatmap Analysis with Day x Hour Intensity Grid
Health Recommendations based on EPA Standards
RESTful API for Data Integration
Responsive Design with Dark/Light Theme
Auto-Refresh Every 5 Minutes
CSV Data Export Functionality

TECHNOLOGY STACK:
Backend: Python, Flask 3.1.2, Pandas, NumPy, Scikit-learn, Joblib
Frontend: HTML5, CSS3, JavaScript ES6, Chart.js 4.4.0, Leaflet.js
Machine Learning: Random Forest Regressor with 21 Engineered Features
Database: CSV with 18,000 Air Quality Records covering 50 Global Cities

PROJECT DELIVERABLES:
Complete Python Flask Source Code with Comments
Pre-trained Machine Learning Models (pickle files)
Responsive HTML, CSS, JavaScript Frontend Files
Sample Dataset with 15 Days Hourly Data
Installation and Setup Documentation
API Documentation with Examples
Jupyter Notebook for Model Training
Project Report Template
PowerPoint Presentation

PERFECT FOR:
Computer Science Final Year Projects
Information Technology Projects
Data Science and ML Projects
Environmental Engineering Projects
BTech, BE, MCA, MSc Final Year Students

WHAT YOU GET:
Source Code with Detailed Comments
Complete Project Setup Guide
Model Training Jupyter Notebook
18,000 Data Points Air Quality Dataset
API Documentation
Project Report Guidance
PPT Template for Presentation

Want this project for your final year?

WHATSAPP: +918603862290

DIRECT PURCHASE LINK:
https://projects.codeaj.com/projects/real-...

ADDITIONAL SERVICES AVAILABLE:
Custom Project Development (Idea Implementation)
Project Setup and Source Code Explanation
Custom Project Report Writing
Research Paper Preparation
PowerPoint Presentation Creation
Viva Voce Preparation Support

WHY CHOOSE THIS PROJECT:
Production-Ready Application
Real-World Environmental Application
Complete ML Model Integration
Professional UI/UX Design
EPA Compliant AQI Categories
Comprehensive Documentation
Industry-Standard Code Quality
Ready for Demonstration

ACADEMIC SUITABILITY:
Covers web development concepts
Machine learning implementation
Data analytics and visualization
REST API architecture
Database management
Software engineering principles

LEARNING OUTCOMES:
Flask Web Framework Development
Machine Learning Model Training and Deployment
Feature Engineering Techniques
Data Visualization with Chart.js
RESTful API Design
Responsive Web Design
Environmental Data Analysis
Production Application Development

INSTALLATION:
Requires Python 3.10 or higher
Simple pip install for dependencies
Step-by-step setup documentation included
Works on Windows, macOS, and Linux

PROJECT HIGHLIGHTS:
50 Global Cities Coverage
15 Days Hourly Data
9 Environmental Parameters
Real-Time Predictions
Interactive Visualizations
Mobile Responsive Design
Auto-Refresh System
Health Advisory System

MORE FINAL YEAR PROJECTS:
Visit CodeAj Marketplace for 100+ ready-made final year projects in AI, Machine Learning, Python, Web Development, Mobile Apps, and more.

Website: https://projects.codeaj.com
WhatsApp: +918603862290

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KEYWORDS:
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