Partnering with Stanford Legal Design Lab students on tools to help tenants facing eviction
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Updated
Oct 17, 2020 - JavaScript
Partnering with Stanford Legal Design Lab students on tools to help tenants facing eviction
Automated ACS-HUD data linking for housing analysis: eligibility and protected-class flags, and analysis-ready county summaries.
A curated training dataset for fine-tuning large language models on U.S. affordable housing policy, finance, public housing, LIHTC, regulations, and voucher program administration. Designed for compliance automation, technical assistance, and intelligent document generation in pursuit of affordable housing development and preservation.
Comprehensive machine learning analysis of housing energy inefficiency in France using synthetic data. Implements end-to-end ML pipeline for predicting "passoires thermiques" (energy-inefficient properties) with SHAP interpretability analysis and policy recommendations.
A tool to calculate if a rent increase is in compliance with California rent control laws.
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