AI and Cognitive Services - seojedaperez/IgnisMap GitHub Wiki

Overview

IgnisMap leverages Microsoft Azure's comprehensive AI and Cognitive Services suite to provide intelligent fire prediction, analysis, and emergency response capabilities 1 . The system integrates multiple Azure AI services including Azure OpenAI, Cognitive Services, Text Analytics, and Anomaly Detection to deliver advanced emergency response intelligence.

Service Architecture

graph TB
    subgraph "AI Services Layer"
        AzureOpenAI["Azure OpenAI<br/>GPT-4 & GPT-3.5-turbo"]
        CognitiveServices["Azure Cognitive Services<br/>Computer Vision & Text Analytics"]
        TextAnalytics["Text Analytics Client<br/>Sentiment & Entity Analysis"]
        AnomalyDetector["Anomaly Detector<br/>Pattern Recognition"]
    end
    
    subgraph "Application Layer"
        MicrosoftAIService["microsoftAIService.ts<br/>AI Service Orchestrator"]
        AzureIntegration["azureIntegrationService.ts<br/>Azure Service Integration"]
        Dashboard["Dashboard.tsx<br/>Emergency Interface"]
    end
    
    subgraph "Data Processing"
        FireRiskAssessment["Fire Risk Assessment"]
        ImageAnalysis["Satellite Image Analysis"]
        TextProcessing["Alert Text Processing"]
        PatternDetection["Anomaly Pattern Detection"]
    end
    
    AzureOpenAI --> MicrosoftAIService
    CognitiveServices --> AzureIntegration
    TextAnalytics --> MicrosoftAIService
    AnomalyDetector --> MicrosoftAIService
    
    MicrosoftAIService --> FireRiskAssessment
    AzureIntegration --> ImageAnalysis
    MicrosoftAIService --> TextProcessing
    MicrosoftAIService --> PatternDetection
    
    FireRiskAssessment --> Dashboard
    ImageAnalysis --> Dashboard
    TextProcessing --> Dashboard
    PatternDetection --> Dashboard

Azure OpenAI Integration

Service Configuration

The system utilizes Azure OpenAI for intelligent analysis and tactical plan generation 2 :

sequenceDiagram
    participant Dashboard as "Emergency Dashboard"
    participant AIService as "Azure Integration Service"
    participant OpenAI as "Azure OpenAI"
    participant CosmosDB as "Cosmos DB"
    
    Dashboard->>AIService: analyzeWithOpenAI(prompt, context)
    AIService->>OpenAI: POST /openai/deployments/gpt-4/chat/completions
    OpenAI->>AIService: AI Analysis Response
    AIService->>CosmosDB: Store tactical plans
    AIService->>Dashboard: Return analysis results

AI Models and Capabilities

The system implements multiple AI models for different emergency response scenarios 3 :

Model	Purpose	Use Case
GPT-4	Complex emergency analysis	Comprehensive situation assessment
GPT-3.5-turbo	Rapid alert generation	Real-time notification processing
text-embedding-ada-002	Semantic search	Historical data analysis

Implementation Details

The Azure OpenAI integration includes sophisticated prompt engineering for emergency response contexts 4 :

flowchart TD
    Start["Emergency Situation"] --> Prompt["Generate AI Prompt"]
    Prompt --> System["System Role: Emergency Expert"]
    System --> Context["Add Situational Context"]
    Context --> OpenAI["Azure OpenAI Processing"]
    OpenAI --> Analysis["AI Analysis Response"]
    Analysis --> Fallback{"API Available?"}
    Fallback -->|No| LocalAnalysis["Fallback Analysis"]
    Fallback -->|Yes| TacticalPlan["Generate Tactical Plan"]
    LocalAnalysis --> Dashboard["Emergency Dashboard"]
    TacticalPlan --> Dashboard

Cognitive Services Integration

Computer Vision Analysis

The system leverages Azure Cognitive Services for satellite imagery analysis and fire detection 5 :

graph LR
    subgraph "Image Processing Pipeline"
        SatelliteImage["Satellite Imagery<br/>NASA FIRMS Data"]
        CognitiveAPI["Cognitive Services API<br/>Computer Vision v3.2"]
        Analysis["Image Analysis Results"]
    end
    
    subgraph "Analysis Features"
        Categories["Object Categories"]
        Description["Scene Description"]
        Objects["Object Detection"]
        Tags["Content Tags"]
    end
    
    SatelliteImage --> CognitiveAPI
    CognitiveAPI --> Analysis
    Analysis --> Categories
    Analysis --> Description
    Analysis --> Objects
    Analysis --> Tags

Text Analytics Integration

Advanced text processing capabilities for emergency alert analysis 6 :

flowchart TB
    subgraph "Text Analytics Pipeline"
        Input["Emergency Alert Text"]
        TextClient["TextAnalyticsClient"]
        Processing["AI Text Processing"]
    end
    
    subgraph "Analysis Results"
        Sentiment["Sentiment Analysis<br/>Score & Confidence"]
        Entities["Named Entity Recognition<br/>Locations, Organizations"]
        KeyPhrases["Key Phrase Extraction<br/>Critical Information"]
        Language["Language Detection<br/>Multi-language Support"]
    end
    
    Input --> TextClient
    TextClient --> Processing
    Processing --> Sentiment
    Processing --> Entities
    Processing --> KeyPhrases
    Processing --> Language

AI Analysis Results Structure

Comprehensive Analysis Interface

The system defines structured interfaces for AI analysis results 7 :

classDiagram
    class AIAnalysisResult {
        +sentiment: SentimentResult
        +entities: EntityResult[]
        +keyPhrases: string[]
        +language: string
        +summary?: string
    }
    
    class SentimentResult {
        +score: number
        +label: string
        +confidence: number
    }
    
    class EntityResult {
        +text: string
        +category: string
        +subCategory?: string
        +confidence: number
    }
    
    AIAnalysisResult --> SentimentResult
    AIAnalysisResult --> EntityResult

Image Analysis Structure

Detailed image analysis capabilities for satellite imagery processing 8 :

classDiagram
    class ImageAnalysisResult {
        +description: string
        +tags: string[]
        +objects: ObjectResult[]
        +faces: FaceResult[]
        +categories: CategoryResult[]
        +adult: AdultContentResult
        +color: ColorAnalysisResult
    }
    
    class ObjectResult {
        +name: string
        +confidence: number
        +rectangle: Rectangle
    }
    
    class Rectangle {
        +x: number
        +y: number
        +w: number
        +h: number
    }
    
    ImageAnalysisResult --> ObjectResult
    ObjectResult --> Rectangle

Service Configuration and Setup

Azure Configuration Management

The system implements comprehensive Azure service configuration through environment variables 9 :

graph TB
    subgraph "Configuration Sources"
        EnvVars["Environment Variables<br/>VITE_AZURE_*"]
        ConfigLoader["azureConfigLoader.ts"]
    end
    
    subgraph "Azure Services"
        AppInsights["Application Insights<br/>Telemetry & Monitoring"]
        TextAnalytics["Text Analytics Client<br/>NLP Processing"]
        AnomalyDetector["Anomaly Detector Client<br/>Pattern Recognition"]
        CognitiveServices["Cognitive Services<br/>Computer Vision"]
    end
    
    EnvVars --> ConfigLoader
    ConfigLoader --> AppInsights
    ConfigLoader --> TextAnalytics
    ConfigLoader --> AnomalyDetector
    ConfigLoader --> CognitiveServices

Service Provisioning

Automated Azure AI services provisioning through infrastructure scripts 10 :

flowchart TD
    Start["Azure Setup Script"] --> CognitiveCreate["Create Cognitive Services<br/>S0 SKU, West Europe"]
    CognitiveCreate --> OpenAICreate["Create Azure OpenAI<br/>S0 SKU, East US"]
    OpenAICreate --> KeyExtraction["Extract Service Keys"]
    KeyExtraction --> EnvConfig["Configure Environment Variables"]
    EnvConfig --> ServiceValidation["Validate Service Connectivity"]
    ServiceValidation --> Complete["Setup Complete"]

Integration with Emergency Dashboard

Real-time AI Processing

The emergency dashboard integrates AI services for comprehensive situational analysis 11 :

sequenceDiagram
    participant User as "Emergency Responder"
    participant Dashboard as "Emergency Dashboard"
    participant AIService as "Microsoft AI Service"
    participant Azure as "Azure AI Services"
    participant Database as "Cosmos DB"
    
    User->>Dashboard: Access Emergency Interface
    Dashboard->>AIService: assessFireRisk(weather, vegetation, history)
    AIService->>Azure: Process with multiple AI models
    Azure->>AIService: Return analysis results
    AIService->>Database: Store tactical plans
    AIService->>Dashboard: Display risk assessment
    Dashboard->>User: Present actionable intelligence

Multi-Service AI Analysis

The system orchestrates multiple AI services for comprehensive emergency analysis 12 :

graph TB
    subgraph "AI Analysis Workflow"
        WeatherData["Weather Data Input"]
        VegetationData["Vegetation Analysis"]
        HistoricalData["Historical Fire Data"]
        
        AIRiskAssessment["Microsoft AI Risk Assessment"]
        
        WindAnalysis["Wind Pattern Analysis"]
        BiodiversityRisk["Biodiversity Risk Assessment"]
        InfrastructureRisk["Infrastructure Risk Analysis"]
        WaterSources["Water Source Identification"]
        FirebreakStrategy["Firebreak Strategy Design"]
    end
    
    subgraph "Dashboard Display"
        RiskMeter["Risk Meter Display"]
        TacticalPlans["Tactical Plans Display"]
        AlertsSystem["Emergency Alerts"]
    end
    
    WeatherData --> AIRiskAssessment
    VegetationData --> AIRiskAssessment
    HistoricalData --> AIRiskAssessment
    
    AIRiskAssessment --> WindAnalysis
    AIRiskAssessment --> BiodiversityRisk
    AIRiskAssessment --> InfrastructureRisk
    AIRiskAssessment --> WaterSources
    AIRiskAssessment --> FirebreakStrategy
    
    WindAnalysis --> RiskMeter
    BiodiversityRisk --> TacticalPlans
    InfrastructureRisk --> AlertsSystem

Cost Structure and Optimization

AI Services Pricing

The AI and Cognitive Services represent a significant portion of the Azure infrastructure costs 13 :

Service	Monthly Cost	Tier	Purpose
Azure OpenAI	$30-50	S0	Advanced AI analysis and tactical planning
Cognitive Services	$50-80	S0	Computer vision and text analytics
Text Analytics	Included	-	Sentiment and entity analysis
Anomaly Detection	Included	-	Pattern recognition

pie title "AI Services Cost Distribution"
    "Cognitive Services" : 50
    "Azure OpenAI" : 40
    "Application Insights" : 10

Notes

The IgnisMap system implements a comprehensive AI and Cognitive Services architecture that provides intelligent emergency response capabilities through Microsoft Azure's AI platform . The integration spans multiple services including Azure OpenAI for advanced analysis, Cognitive Services for image processing, and Text Analytics for natural language understanding . The system includes robust fallback mechanisms and cost optimization strategies to ensure reliable operation in emergency scenarios .