Completed
Private AI Document Analyzer
AI & Privacy
Secure offline document analysis using locally deployed LLMs
Python
Docker
Ollama
LLaMA
DeepSeek
This project demonstrates how organizations can leverage powerful language models for document analysis without compromising sensitive information by deploying models entirely offline.
Privacy-First Architecture
The system runs entirely on local infrastructure with no external API calls or cloud dependencies.
Model Deployment
- DeepSeek-R1 1.5B: Lightweight reasoning model for quick inference
- LLaMA-3 8B: More capable model for complex analysis tasks
Natural Language Search
- Understanding context and intent beyond keyword matching
- Extracting relevant passages across multiple documents
- Summarizing findings while preserving important details
- Maintaining document provenance for audit trails
Use Cases
Legal document review, medical record analysis with HIPAA compliance, financial document processing with regulatory requirements, and government classified document analysis.