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happy-platform

byeli yeclos

# Smart Green City & Air Pollution Monitoring System ## Project Overview The Smart Green City & Air Pollution Monitoring System is an AI-powered environmental intelligence platform designed to help cities monitor, analyze, predict, and reduce pollution and climate-related urban risks. The system integrates IoT environmental sensors, satellite imagery, GIS mapping, weather intelligence, machine learning, and cybersecurity technologies to provide real-time monitoring of air quality, traffic emissions, noise pollution, urban heat islands, carbon emissions, and environmental sustainability indicators. The platform supports governments, environmental agencies, smart-city planners, researchers, transportation authorities, and public health institutions by enabling data-driven urban planning and climate resilience strategies. The system aligns with global climate action goals and supports sustainable urban development by providing predictive analytics, automated alerts, environmental reporting, and intelligent recommendations for greener and safer cities. --- # Core Objectives * Monitor real-time urban environmental conditions * Detect pollution hotspots and climate risks * Predict air quality deterioration using AI * Improve smart-city sustainability planning * Support climate adaptation and resilience * Reduce carbon emissions and public health risks * Protect smart-city infrastructure from cyber threats --- # Key Features ## 1. Air Quality Monitoring Track: * PM2.5 * PM10 * CO2 * NO2 * SO2 * Ozone levels * Smoke density --- ## 2. Traffic & Carbon Emission Analytics Monitor: * Vehicle congestion * Traffic emissions * Carbon footprint * Fuel pollution patterns --- ## 3. Urban Heat Island Detection Use: * Satellite imagery * Thermal analytics * GIS heatmaps To identify: * High-temperature zones * Climate-vulnerable areas --- ## 4. Noise Pollution Monitoring Analyze: * Urban noise levels * Industrial noise * Traffic noise --- ## 5. Climate Risk Prediction AI models predict: * Pollution spikes * Heatwaves * Smog events * Environmental degradation --- ## 6. GIS & Smart City Visualization Provide: * Interactive maps * Real-time dashboards * Environmental heatmaps * Climate analytics --- ## 7. Automated Alerts Send: * SMS alerts * Email notifications * Emergency warnings * Public safety alerts --- ## 8. Cybersecurity Layer Protect: * IoT sensors * APIs * Environmental databases * Smart-city networks Using: * Encryption * RBAC * SIEM monitoring * Threat detection * Secure APIs --- # System Requirements ## Functional Requirements ### User Management * Admin authentication * Role-based access control * Multi-user support ### Environmental Monitoring * Real-time sensor ingestion * Satellite data processing * Weather API integration ### AI Analytics * Pollution prediction * Trend analysis * Smart recommendations ### GIS Features * Map rendering * Geospatial analytics * Heatmaps ### Alert System * SMS/email alerts * Threshold-based notifications --- ## Non-Functional Requirements ### Scalability * Cloud-native infrastructure * Kubernetes support * Load balancing ### Security * MFA authentication * Encrypted communication * Secure cloud storage ### Reliability * 24/7 monitoring * Backup systems * Fault tolerance ### Performance * Real-time analytics * Low-latency processing --- # Technology Stack | Layer | Technologies | | ---------- | --------------------------------- | | Frontend | React, Next.js, Tailwind CSS | | Mobile App | Flutter or React Native | | Backend | Node.js, FastAPI, Python | | AI/ML | TensorFlow, PyTorch, Scikit-learn | | GIS | PostGIS, GeoServer, Leaflet | | Database | PostgreSQL, MongoDB, TimescaleDB | | Cloud | AWS, Azure, Google Cloud | | DevOps | Docker, Kubernetes | | Security | OAuth2, JWT, SIEM, WAF | | IoT | MQTT, ESP32, Raspberry Pi | --- # Data Sources ## Satellite Sources * Sentinel-2 * Landsat * NASA EarthData * MODIS ## Weather APIs * OpenWeatherMap * NOAA * ECMWF ## IoT Sensors * Air quality sensors * Noise sensors * Traffic sensors * Temperature sensors --- # AI Modules ## Machine Learning Models * Air pollution prediction * Traffic emission forecasting * Climate anomaly detection * Heatwave prediction ## Computer Vision * Traffic analysis * Satellite image interpretation * Environmental change detection --- # User Roles | User | Access | | -------------------- | -------------------- | | Government Admin | Full control | | Environmental Agency | Monitoring & reports | | Researchers | Analytics access | | Public Users | Public dashboards | | Smart City Planners | GIS & planning tools | --- # Expected Outputs * Real-time pollution dashboards * Smart-city climate reports * Environmental risk heatmaps * AI sustainability recommendations * Climate risk forecasts * Public health alerts --- # Sustainability Impact The system helps: * Reduce urban pollution * Improve public health * Support sustainable cities * Strengthen climate resilience * Enable smart urban governance * Protect environmental infrastructure --- # FULL BUILD PROMPT Create a full-stack AI-powered Smart Green City and Air Pollution Monitoring System that integrates IoT sensors, satellite imagery, GIS mapping, weather intelligence, artificial intelligence, and cybersecurity technologies to monitor environmental conditions and climate risks in urban areas. Build a responsive web and mobile platform capable of collecting real-time environmental data from air quality sensors, traffic systems, weather APIs, thermal sensors, and satellite sources such as Sentinel, Landsat, and NASA EarthData. The system must analyze PM2.5, PM10, CO2, NO2, SO2, ozone levels, traffic emissions, urban heat islands, noise pollution, and environmental quality indicators using machine learning, computer vision, and geospatial analytics. Include interactive GIS dashboards, environmental heatmaps, predictive climate analytics, pollution forecasting, trend analysis, sustainability recommendations, and automated SMS/email alerts for dangerous environmental conditions. Develop secure APIs, role-based access control, authentication systems, encrypted communications, SIEM monitoring, and cybersecurity protection for IoT devices and smart-city infrastructure. Use scalable cloud-native architecture with Docker, Kubernetes, PostgreSQL/PostGIS, React or Next.js frontend, Python AI services, and mobile accessibility through Flutter or React Native. The platform should support governments, environmental agencies, smart-city planners, researchers, transportation authorities, and public users with real-time monitoring, environmental reporting, climate resilience analytics, and sustainable urban planning tools. Design a modern futuristic UI/UX with real-time data visualization, AI automation, satellite analytics, and smart-city intelligence aligned with global climate action and sustainable development goals.

LandingUserManagementLoginHealthAdvisoryGISMapAlerts
Landing

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Project Tasks

85 tasks
#65

Generate system requirement document

0.1 cr needed
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#70

Generate system requirement document

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#66

Generate personas & user flows

0.1 cr needed
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#71

Generate personas & user flows

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#67

Design first page

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#72

Design first page

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#68

Design remaining pages

0.1 cr needed
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#73

Design remaining pages

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#69

Workspace task plan

0.1 cr needed
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#74

Workspace task plan

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#75

Update Admin flow

0m 14sCredits unavailable
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#76

Update City Planner flow

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#77

Update Public User flow

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#78

Update Researcher flow

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#79

Update Alerts

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#80

Update GISMap

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#81

Update Health Advisory

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#82

Update Landing

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#83

Update Login

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#84

Update User Management

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#85

Update Implementation task plan

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#1

Implement Navigation for Landing

35.15 cr estimated
To Do
#45

Build Auth & MFA API

95.9 cr estimated
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#58

Design Database Schema & Migrations

140 cr estimated
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#59

Setup Global State Management

105.44 cr estimated
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#60

Setup Design System & Theme

87.87 cr estimated
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#2

Implement Landing Hero for Landing

70.3 cr estimated
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#3

Implement Landing Cityscape for Landing

70.3 cr estimated
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#4

Implement Landing Environmental Metrics for Landing

35.15 cr estimated
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#5

Implement Landing Features for Landing

35.15 cr estimated
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#6

Implement Landing Trust Badges for Landing

17.57 cr estimated
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#7

Implement Landing User Journeys for Landing

35.15 cr estimated
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#8

Implement Landing Predictive Analytics for Landing

52.72 cr estimated
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#9

Implement Landing Data Viz for Landing

52.72 cr estimated
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#10

Implement Landing CTA for Landing

35.15 cr estimated
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#11

Implement Footer for Landing

17.57 cr estimated
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#12

Implement Login Background for Login

52.72 cr estimated
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#14

Implement Health Advisory Hero for Health Advisory

70.3 cr estimated
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#46

Implement RBAC Middleware

83.92 cr estimated
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#48

Build Io T Sensors Ingestion API

107.89 cr estimated
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#55

Build User Profile API

59.94 cr estimated
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#61

Configure API Gateway & CORS

59.94 cr estimated
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#62

Setup MQTT Broker for Io T

61.79 cr estimated
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#13

Implement Login Container for Login

70.3 cr estimated
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#15

Implement Health Advisory Air Quality Tips for Health Advisory

17.57 cr estimated
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#16

Implement Health Advisory Pollutant Guide for Health Advisory

52.72 cr estimated
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#17

Implement Health Advisory Risk Assessment for Health Advisory

70.3 cr estimated
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#18

Implement Health Advisory Action Steps for Health Advisory

35.15 cr estimated
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#19

Implement Health Advisory Emergency Contacts for Health Advisory

17.57 cr estimated
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#20

Implement Health Advisory Community Resources for Health Advisory

17.57 cr estimated
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#21

Implement Health Advisory FAQ for Health Advisory

35.15 cr estimated
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#22

Implement Health Advisory Share CTA for Health Advisory

17.57 cr estimated
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#47

Build Users Management API

83.92 cr estimated
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#49

Build Environmental Data API

95.9 cr estimated
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#54

Build Security & SIEM API

95.9 cr estimated
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#63

Setup Redis Caching Layer

51.49 cr estimated
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#23

Implement Navigation for GISMap

35.15 cr estimated
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#50

Build GIS & Geospatial API

107.89 cr estimated
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#51

Build Alerts & Notifications API

95.9 cr estimated
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#52

Build Analytics & Historical API

95.9 cr estimated
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#53

Build Health Advisory API

71.93 cr estimated
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#56

Build AI Pollution Prediction Service

119.88 cr estimated
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#24

Implement GISMap Sidebar for GISMap

52.72 cr estimated
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#25

Implement GISMap Header for GISMap

35.15 cr estimated
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#30

Implement Footer for GISMap

17.57 cr estimated
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#57

Build Satellite Computer Vision Service

119.88 cr estimated
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#64

Implement Web Socket Real-time Layer

83.92 cr estimated
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#26

Implement GISMap Canvas for GISMap

87.87 cr estimated
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#29

Implement GISMap Sidebar (secondary instance) for GISMap

17.57 cr estimated
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#31

Implement Navigation for Alerts

17.57 cr estimated
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#27

Implement GISMap Legend for GISMap

52.72 cr estimated
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#28

Implement GISMap Analytics for GISMap

70.3 cr estimated
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#32

Implement Alerts Hero for Alerts

35.15 cr estimated
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#33

Implement Alerts Filters for Alerts

35.15 cr estimated
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#34

Implement Alerts Active List for Alerts

35.15 cr estimated
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#35

Implement Alerts Heatmap for Alerts

52.72 cr estimated
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#36

Implement Alerts Notification Prefs for Alerts

35.15 cr estimated
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#37

Implement Alerts Upcoming Threats for Alerts

35.15 cr estimated
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#38

Implement Alerts Recommendations for Alerts

52.72 cr estimated
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#39

Implement Footer for Alerts

17.57 cr estimated
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#40

Implement User Management Header for User Management

35.15 cr estimated
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#41

Implement User Management Sidebar for User Management

52.72 cr estimated
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#42

Implement User Management Filters for User Management

35.15 cr estimated
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#43

Implement User Management Table for User Management

70.3 cr estimated
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#44

Implement User Management Pagination for User Management

17.57 cr estimated
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Landing design preview
Landing: View Info
Login: Sign In
Dashboard: View Stats
UserManagement: Manage Roles
UserManagement: Edit Permissions
Security: Monitor Threats
Security: Configure RBAC
Sensors: Manage Sensors
Reports: Generate Reports
Alerts: Configure Alerts
Profile: Update Settings
Landing design preview
Landing: View Info
Login: Sign In
Dashboard: View Stats
UserManagement: Manage Roles
UserManagement: Edit Permissions
Security: Monitor Threats
Security: Configure RBAC
Sensors: Manage Sensors
Reports: Generate Reports
Alerts: Configure Alerts
Profile: Update Settings