OpenStreetMap MCP server providing precision geospatial tools for LLMs via Model Context Protocol. Features geocoding, routing, nearby places, neighborhood analysis, EV charging stations, and more.

OpenStreetMap MCP server providing precision geospatial tools for LLMs via Model Context Protocol. Features geocoding, routing, nearby places, neighborhood analysis, EV charging stations, and more.

Gamified safety education platform for urban residents. Uses Toronto Police crime data and Street View to provide interactive neighborhood risk assessment. Helps users learn street smarts through competitive gameplay by turning safety education into data-driven gaming.

Welcome to the Los Angeles Sushi Adventure repository! This repository contains data and analysis related to the exciting world of sushi in Los Angeles. We are passionate about exploring the diverse sushi scene in the city and uncovering hidden gems, popular spots, and unique culinary experiences.

The primary goal of this tool is to quantify and rank neighborhood level accessibility to essential urban services within Denver. By Integrating the "15-minute city" framework, the tool identifies spatial gaps in service provision for critical infrastructure, including public schools, parks, food retail, public transit, and healthcare facilities

unipa-bigdata-dmi is a group of Big Data researcher @ UNIPA lead by Prof. Simona Ester Rombo.

Generate AI-style neighborhood reports with school ratings, crime stats, market trends, amenities, and walk scores. Includes PDF/CSV export. WordPress plugin.

DSCI 510 Final Project - Explore the relationship between median income in neighborhoods (quantified by ZIP code), the number of electric vehicle charging locations, and the number of vegan/ vegetarian restaurants in the neighborhood. Currently limited to California only.

A python version of neighborhood analysis, written in rust.

Code and visualization utilized for my doctoral dissertation on the effects of Caribbean migration in Houston's residential inequality.

A comprehensive collection of machine learning algorithms implemented from scratch and demonstrated with practical examples