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doctor-verify-institutional
josephrw/doctor-verify-institutional
doctor-verify-institutional is a machine learning model from josephrw. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Institutional-grade multi-source verification with LLM-powered web crawl.
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Public
Updated Jun 12, 2026
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.pyc114 KB · 59%
At a glance
- License
- mit
- Access
- Public
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026
- SHA
- 2cd1e788
Model card
From the Hugging Face model README
Doctor Address Verifier — Institutional
Institutional-grade multi-source verification with LLM-powered web crawl.
Features
- Multi-Source Verification: NPI Registry, CMS Physician Compare, Google Places, Bing, Yelp, RateMDs, Healthgrades, SAMHSA, NY OPD
- LLM Web Crawl: Ollama-powered web crawling for additional verification
- Batch Processing: Excel file upload for bulk verification
- Audit Logging: SHA-256 checksums for compliance
- Real-time Status: System health monitoring
Usage
Single Verification
- Enter doctor details (name, address, city, state, ZIP, specialty)
- Click "Verify"
- View comprehensive verification report with consensus
Batch Verification
- Upload Excel file with doctor records
- Click "Run Batch Verification"
- Download CSV results with all verification data
Environment Variables
Set these in Hugging Face Space secrets:
APP_PASSWORD: Optional password to restrict accessGOOGLE_API_KEY: Google Places API key (optional)BING_SEARCH_KEY: Bing Search API key (optional)NO_OLLAMA=1: Disable LLM features (optional)
Security
All requests are logged with SHA-256 checksums for audit compliance. Set APP_PASSWORD to restrict access.
License
MIT
- License
- mit
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026