An interactive, AI-powered dashboard that visualizes and predicts potential crimes across San Francisco neighborhoods. This project integrates real-time weather data, an interactive SVG map, and machine learning models trained on historical crime datasets to forecast likely criminal activity by time, type, and location.
🌐 Live Site: https://djlispy.github.io/Predictive-Policing/
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🗺️ Interactive SVG Map
Explore individual neighborhoods in San Francisco. Click on any region to view forecasted crime data. -
🧾 AI Crime Predictions
Uses trained machine learning models to estimate:- 📍 Where a crime might happen (coordinates)
- ⏰ When it may occur (time of day)
- 🚨 What type of crime is likely (e.g., robbery, fraud, burglary)
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🌦️ 10-Day Weather Forecast
Displays accurate, real-time weather data for San Francisco via a weather API—potentially correlating conditions with crime likelihood. -
📊 Live Crime Feed
View recent AI-predicted incidents with time, location, and crime type in table format.
| Technology | Purpose |
|---|---|
| HTML, CSS, JavaScript | Core frontend interface |
| SVG | Interactive map rendering |
| Visual Crossing Weather API | Real-time weather data |
| Custom Trained AI Model | Crime prediction logic |