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metadata 
title: AI Personas for Urban Planning
emoji: 🏙️
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.28.0
app_file: web_app.py
pinned: false
license: mit
short_description: Model diverse stakeholder perspectives on urban planning with AI personas

🏙️ AI Personas for Urban Planning

An AI-powered simulation system that models diverse stakeholder perspectives on urban planning issues using LLM-based personas.

Features

  • Interactive Chat: Query individual personas to understand their unique perspectives
  • Population Analysis: Analyze responses across population distributions
  • Opinion Equilibria: Model how opinions evolve through social influence dynamics
  • Edit Personas: Customize stakeholder profiles and urban contexts

Models

  • Anthropic Claude: High-quality API-based responses (requires API key)
  • Local Be.FM: Stanford's Be.FM model running on GPU (free, no API key needed)

Usage

  1. Select a model from the sidebar (Be.FM recommended for this Space)
  2. Choose a persona or use Population Analysis
  3. Ask questions about urban planning scenarios
  4. Explore how different stakeholders respond

About Be.FM

Be.FM is a fine-tuned Llama-3.1-8B model trained on behavioral economics data, designed to simulate realistic human decision-making in urban planning contexts.

Credits

Built with Streamlit, Anthropic Claude, and Stanford's Be.FM model.