Bathroom Finder – Real-Time Community Map
(Consumer Product | AI-Assisted Development | Urban Utility)
Project Summary
A Manhattan-focused real-time restroom mapping app allowing users to discover, update, and comment on bathroom availability and accessibility.
Inspired by dynamic data systems similar to Waymo, the platform integrates community-sourced updates with AI-assisted moderation.
Developed leveraging Claude Code, Lovable, and ChatGPT to accelerate prototyping and iteration cycles.
Workflow & Project Approach
Problem
Public restroom information lacked reliability, accessibility visibility, and real-time updates.
Execution
Core Features:
Interactive geolocation-based map
Accessibility filters (ADA, hours, key required)
Comment sections with live updates
AI-assisted moderation
Data validation logic for real-time updates
AI Usage:
Rapid UI prototyping
Data schema refinement
Content moderation assistance
Impact
Validated community-powered urban infrastructure model
Demonstrated AI-assisted product build workflow
Positioned for scalable city expansion