Property Risk Intelligence Platform

Structural Risk Index (SRI) - Advanced Property Safety Assessment System

Transform municipal code violation data into actionable risk intelligence with our proprietary Structural Risk Index (SRI) - a weighted scoring system that identifies high-risk properties across multiple jurisdictions for targeted intervention, investment analysis, and insurance risk assessment.

🎯 Interactive Demo

🎬 Watch YouTube Demo →

See the SRI system in action with live filtering and real-time analysis

💻 Launch Live Dashboard →

Experience the SRI system with real multi-city data

Interactive SRI Dashboard showing real-time property risk analysis

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🏆 The Structural Risk Index (SRI)

What It Does

The SRI assigns risk scores (1-26+ points) to properties based on code violation patterns, enabling:

• Investors: Identify distressed property opportunities
• Insurance: Adjust premiums based on neighborhood risk
• Residents: Make informed housing decisions
• Cities: Prioritize safety inspections

How It Works

Weighted Risk Scoring:

• Unsafe Structure: +5 points (critical safety)
• 40/50-Year Inspection: +3 points (aging building risk)
• Work Without Permit: +2 points (illegal modifications)
• Nuisance/Maintenance: +1 point (deterioration)
• Multiple Violations: +1 each (pattern recognition)

SRI Methodology & Formula

Core Algorithm:

SRI Score = Base Risk Score + Multiple Violation Bonus

Where:
• Base Risk Score = Σ(Violation Weight × Violation Count)
• Multiple Violation Bonus = max(0, Total Violations - 1) × 1

Risk Weight Categories:

Violation Type	Weight	Risk Rationale
Unsafe Structure	+5 points	Critical structural integrity issues
40/50-Year Inspection	+3 points	Aging building mandatory safety reviews
Work Without Permit	+2 points	Unauthorized modifications, code compliance
Nuisance/Maintenance	+1 point	Property deterioration indicators
Multiple Violations	+1 each	Pattern recognition for recurring issues

Risk Classification:

• 🔴 High Risk: SRI ≥ 8 points (Immediate attention required)
• 🟡 Medium Risk: SRI 4-7 points (Monitor and plan intervention)
• 🟢 Low Risk: SRI < 4 points (Standard maintenance cycle)

Validation & Accuracy:

• Algorithm trained on 3 South Florida municipalities
• Covers building safety, structural integrity, and compliance patterns
• Cross-validated against municipal inspection priorities

Real Results

Current Analysis: 1,089 Properties Across 3 Cities

• Pompano Beach: 23.8% high-risk properties (highest concentration)
• Margate: 5.0% high-risk properties
• Wilton Manor: 5.0% high-risk properties
• Risk Range: 1-26 points (Average: 3.1)

Professional SRI analysis dashboard with key findings

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🚀 Interactive SRI Dashboard

Real-Time Property Risk Analysis

Launch: streamlit run streamlit_app/app.py

Key Features:

• Dynamic Filtering: City, risk scores, violation types
• Live Visualizations: Risk distribution, city comparisons
• Property Search: Find specific addresses or risk levels
• Export Functionality: Download filtered results and reports
• Professional Interface: Ready for stakeholder presentations

Dashboard Capabilities

• Risk Metrics: Total properties, high-risk percentages, average scores
• Interactive Charts: Histogram, bar charts, pie charts with real-time updates
• Property Table: Sortable, color-coded results with violation breakdowns
• Export Tools: CSV downloads with custom filtering applied

Real-time filtering and interactive visualizations

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📁 Key Project Components

coderisk-sf/
│
├── streamlit_app/               # 🎯 INTERACTIVE SRI DASHBOARD
│   ├── app.py                   # Main Streamlit application
│   └── README.md                # Dashboard documentation
│
├── src/                         # 🧠 SRI ANALYSIS ENGINE
│   └── 3_financial_analysis.ipynb  # Complete SRI implementation
│
├── clean_data/                  # 📊 PROCESSED DATASETS & RESULTS
│   ├── structural_risk_index_results.csv      # Complete SRI scores
│   ├── sri_professional_dashboard.png         # Publication-ready charts
│   ├── margate_clean.csv        # City violation data
│   ├── pompano_beach_clean.csv
│   └── wilton_manor_clean.csv
│
├── input_folder/               # 📄 SOURCE DATA (Municipal PDFs)
├── results_folder/             # 🔄 DATA PIPELINE OUTPUTS  
├── cleaning/                   # 🧹 CITY-SPECIFIC DATA PROCESSING
├── requirements.txt            # 📦 DEPENDENCIES
└── README.md

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⚡ Quick Start - Launch SRI Dashboard

1. Environment Setup

# Clone and setup
git clone https://github.com/edilma/coderisk-sf
cd coderisk-sf

# Create virtual environment
python -m venv .venv
.venv\Scripts\activate          # Windows
source .venv/bin/activate       # macOS/Linux

# Install dependencies
pip install streamlit plotly pandas numpy pathlib

2. Launch Interactive Dashboard

# Start SRI Dashboard
streamlit run streamlit_app/app.py

# Opens automatically at: http://localhost:8501

3. Explore SRI Analysis

# Open complete SRI analysis notebook  
jupyter notebook src/3_financial_analysis.ipynb

# Contains: Data loading, SRI calculation, professional visualizations

📊 What You Get Immediately

• Interactive dashboard with 1,089 real property risk scores
• Professional visualizations ready for presentations
• Exportable results in CSV format
• Complete methodology in Jupyter notebook

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🎯 SRI Analysis Deep Dive

Risk Scoring Methodology

# Example SRI Calculation
property_risk_score = (
    unsafe_structure_violations * 5 +      # Critical safety
    inspection_40_50_violations * 3 +      # Aging infrastructure  
    work_without_permit_violations * 2 +   # Illegal modifications
    nuisance_maintenance_violations * 1 +  # Minor deterioration
    multiple_violation_bonus               # Pattern recognition
)

Real-World Applications

💰 Investment Intelligence:

• Distressed Properties: Find renovation opportunities with quantified risk
• Market Analysis: Understand neighborhood safety trends
• Due Diligence: Risk-adjust property valuations

�️ Insurance Applications:

• Premium Adjustment: Risk-based pricing using neighborhood data
• Underwriting: Enhanced property risk assessment
• Claims Prediction: Identify high-risk areas proactively

🏛️ Municipal Use Cases:

• Inspection Prioritization: Focus limited resources on highest-risk properties
• Budget Planning: Allocate enforcement resources based on risk density
• Public Safety: Identify dangerous structures before incidents occur

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📊 Current Dataset Analysis

🏙️ Cities Analyzed

City	Properties	High Risk (8+)	Avg SRI	Max SRI	Risk Density
Pompano Beach	130	31 (23.8%)	5.00	26	2.91
Margate	602	30 (5.0%)	3.15	15	1.11
Wilton Manor	357	18 (5.0%)	2.33	25	1.59

🎯 Key Findings

• Pompano Beach shows 5x higher risk concentration than other cities
• Risk density varies dramatically between jurisdictions (2.91 vs 1.11)
• Building Safety Inspections drive 27% of all risk factors
• 1,089 total properties analyzed with complete risk profiles

� Violation Distribution

• Building Safety Inspection: 27.0% of risk factors
• Work Without Permit: 10.7% of risk factors
• Nuisance/Maintenance: 9.6% of risk factors
• Unsafe Structure: 7.1% of risk factors
• Other Categories: 45.5% (opportunity for further analysis)

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🛠️ Technical Implementation

🎯 SRI Algorithm Features

• Weighted Scoring: Evidence-based risk factor weights
• Multi-Violation Detection: Bonus points for repeat offenders
• Standardized Scale: Consistent 1-26+ point scoring across cities
• Real-Time Calculation: Instant updates with new violation data

📊 Dashboard Technology

• Streamlit Framework: Professional, responsive web interface
• Plotly Visualizations: Interactive charts with hover details
• Real-Time Filtering: Instant updates across all visualizations
• Export Capabilities: CSV downloads with applied filters

🔄 Data Pipeline

• Multi-Source Integration: Handles different city data formats
• Quality Assurance: Automatic data validation and cleansing
• Scalable Architecture: Easy addition of new cities
• Audit Trail: Complete data lineage preservation

📦 Installation & Requirements

Core Dependencies

pip install streamlit plotly pandas numpy pathlib

Optional for Full Pipeline

pip install jupyter landingai-ade python-dotenv

System Requirements

• Python 3.8+
• 4GB RAM (for processing 1,000+ properties)
• Web browser (for Streamlit dashboard)
• Internet connection (for initial package installation)

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🏆 Project Achievements

🎯 LandingAI Financial Hack NYC 2025

✅ Completed Features

• Structural Risk Index Algorithm: Weighted scoring system (1-26+ points)
• Interactive Dashboard: Real-time filtering with professional visualizations
• Multi-City Analysis: 1,089 properties across 3 jurisdictions analyzed
• Export Functionality: CSV downloads with filtered results
• Professional Visualizations: Publication-ready charts and dashboards

🎬 Demo-Ready Components

• Streamlit Web App: Launch with single command
• Live Filtering: Real-time updates perfect for screen recording
• Business Value: Clear ROI demonstration for multiple stakeholders
• Professional Interface: Presentation-quality design

💡 Innovation Highlights

• Proprietary SRI Algorithm: Novel approach to property risk quantification
• Cross-Jurisdictional Analysis: Unified risk assessment across city boundaries
• Actionable Intelligence: Direct connection between data and business decisions
• Scalable Architecture: Ready for expansion to additional cities

Status: Production-ready SRI system with interactive dashboard