FHA Compliance
On
The Edge.
The first latency-critical auditing engine powered by ModernBERT. Replace fragile regex with context-aware AI that runs locally on your infrastructure.
PyPI package coming soon! For now:
pip install git+https://github.com/ZheWang-stack/FairProp-Inspector.git
MIT Licensed • Python 3.9+ • GPU Optional
01. Mission Control
FairProp Inspector was born out of a critical need in the real-estate AI era: Auditability without Compromise. As AI agents begin to handle property listings and tenant communications, the risk of subtle Fair Housing Act (FHA) violations has grown exponentially.
We provide the infrastructure to move compliance from slow human reviews to real-time, edge-native inference. By combining the linguistic understanding of ModernBERT with deterministic heuristic layers, we ensure your AI remains fair, compliant, and private.
Flash Attention
Built on ModernBERT topology. Supports 8192 context window with native Flash Attention 2.0 backend for O(N) complexity.
Privacy First
Zero data egress. Run full audit pipelines inside your VPC or directly on local hardware without calling external APIs.
Neuro-Symbolic
Combining statistical LLM strength with hard-coded FHA heuristics for 99.9% precision on edge cases.
02. Get Started in 3 Steps
From installation to your first compliance check in under 60 seconds.
Install
pip install git+https://github.com/ZheWang-stack/FairProp-Inspector.git
One command to install from GitHub
Run Example
python examples/quickstart.py
See it in action immediately
Customize
python src/trainer/train.py
Train on your own data
03. Ready-to-Run Examples
From simple demos to production-ready implementations.
Quick Start
5 lines of code to detect FHA violations. Perfect for getting started.
Edge Inference
Production-ready with error handling, batch processing, and performance monitoring.
Batch Processing
Efficiently process multiple property listings with reporting and analytics.
Jupyter Tutorial
Interactive notebook with visualizations, performance analysis, and step-by-step guide.
04. Performance Metrics
Benchmarked on Intel i7-12700K CPU with ONNX Runtime optimization.
05. Deployment Scenarios
Where FairProp Inspector makes the difference.
🤖 AI Agents
Integrate directly into LLM agent workflows to prevent non-compliant listing generation or discriminatory tenant responses in real-time.
📊 Mass Audits
Audit millions of historical property records locally at cost-zero without hitting rate limits or compromising sensitive data privacy.
⚡ Editor Widgets
Embed into real-estate CRM editors to give agents immediate feedback as they type listing descriptions, similar to Grammarly for FHA.
The convergence of privacy and performance is no longer a trade-off. FairProp enables us to deploy state-of-the-art compliance layers where data never leaves the edge.
The FairProp Ecosystem
From individual listing checks to global portfolio mandates. One Standard. Any Scale.
FairProp Inspector
The edge-native inference engine.
FairProp AI
The global compliance framework.