Add Forensic CPA AI document processing system

Created complete Flask-based application for forensic accounting document analysis with:
- PDF, Excel, and Word document processing capabilities
- REST API with 6 endpoints for upload, analysis, and file management
- Modern web interface with drag-and-drop file upload
- Comprehensive test suite and API testing tools
- Deployment scripts and documentation for Windows
- Local Nexus Controller integration bundle
- Production-ready with security features and error handling

Key features:
- Extract text, tables, and metadata from PDFs using pdfplumber
- Parse and analyze Excel spreadsheets with pandas/openpyxl
- Process Word documents and extract structured data
- Web UI at /ui for easy document upload and visualization
- Health check endpoint for monitoring
- File storage with JSON results for each processed document

Includes complete documentation:
- README.md - Main documentation and API reference
- SETUP_INSTRUCTIONS.md - Step-by-step installation guide
- DEPLOYMENT_GUIDE.md - Deployment and integration instructions
- PROJECT_SUMMARY.md - Comprehensive project overview
- test_api.py - Automated API test suite

Ready for deployment to C:\Users\nedpe\Desktop\Repositories\Forensic_CPA_AI

https://claude.ai/code/session_01VzBz78XPLwNAzDDaSFsTbC

Author: claude

forensic_cpa_ai/.env.example

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+# Forensic CPA AI Configuration
+
+# Port number for the Flask application
+PORT=5000
+
+# Flask debug mode (true/false)
+FLASK_DEBUG=false
+
+# Maximum upload file size in bytes (default: 16MB)
+MAX_UPLOAD_SIZE=16777216

forensic_cpa_ai/.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Virtual environments
+.venv/
+venv/
+ENV/
+env/
+
+# Flask
+instance/
+.webassets-cache
+
+# Environment variables
+.env
+.env.local
+
+# Uploaded files
+uploads/
+*.pdf
+*.xlsx
+*.xls
+*.docx
+*.doc
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Logs
+*.log
+
+# Testing
+.pytest_cache/
+.coverage
+htmlcov/

forensic_cpa_ai/DEPLOY.bat

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+@echo off
+REM Deployment script for Forensic CPA AI
+REM This script copies the project files to the target directory
+
+echo ╔═══════════════════════════════════════════════════════════════════╗
+echo ║     Forensic CPA AI - Deployment Script                          ║
+echo ╚═══════════════════════════════════════════════════════════════════╝
+echo.
+
+REM Set the target directory
+set TARGET_DIR=C:\Users\nedpe\Desktop\Repositories\Forensic_CPA_AI
+
+echo Target directory: %TARGET_DIR%
+echo.
+
+REM Check if target directory exists
+if not exist "%TARGET_DIR%" (
+    echo Creating target directory...
+    mkdir "%TARGET_DIR%"
+)
+
+echo Copying project files...
+
+REM Copy all project files
+copy /Y main.py "%TARGET_DIR%\"
+copy /Y requirements.txt "%TARGET_DIR%\"
+copy /Y README.md "%TARGET_DIR%\"
+copy /Y SETUP_INSTRUCTIONS.md "%TARGET_DIR%\"
+copy /Y .env.example "%TARGET_DIR%\"
+copy /Y .gitignore "%TARGET_DIR%\"
+copy /Y local-nexus.bundle.json "%TARGET_DIR%\"
+
+echo.
+echo ═══════════════════════════════════════════════════════════════════
+echo Files copied successfully!
+echo.
+echo Next steps:
+echo   1. Navigate to: %TARGET_DIR%
+echo   2. Run: python -m venv .venv
+echo   3. Run: .venv\Scripts\activate
+echo   4. Run: pip install -r requirements.txt
+echo   5. Run: python main.py
+echo.
+echo Or simply run QUICK_START.bat in the target directory
+echo ═══════════════════════════════════════════════════════════════════
+echo.
+
+pause