Your Data Privacy & Security

# Current Backend: File Upload Handler (Python FastAPI)
@app.post("/api/upload")
async def upload_file(file: UploadFile = File(...)):
    try:
        # Validate file type and size with enhanced security
        if not validate_file_type(file.content_type):
            raise HTTPException(400, "Unsupported file type")

        if file.size > settings.max_file_size:  # 10MB limit from settings
            raise HTTPException(400, "File too large (max 10MB)")

        # Generate cryptographically secure session ID
# ... (code continues)

# Current Medical Document Processing - Production Implementation
# PDF Processing: PyMuPDF (medical-grade, used by healthcare institutions)
def extract_text_from_pdf(file_path: str) -> str:
    """Extract text from PDF with enhanced error handling"""
    try:
        doc = fitz.open(file_path)  # PyMuPDF - industry standard
        text = ""
        for page_num, page in enumerate(doc):
            page_text = page.get_text()
            text += page_text
            logger.debug(f"Extracted {len(page_text)} chars from page {page_num + 1}")
        doc.close()
# ... (code continues)

# Current Medical Analysis Engine - Production Implementation
async def analyze_with_openai(text: str, language: str) -> str:
    """Analyze medical text with OpenAI Enterprise API"""
    if not openai_client:
        raise HTTPException(status_code=503, detail="AI service not available")

    try:
        logger.info(f"Starting OpenAI analysis for {len(text)} chars in {language}")

        # Use OpenAI Enterprise API with medical-specific prompt
        response = openai_client.chat.completions.create(
            model=settings.openai_model,  # GPT-4 for medical accuracy
# ... (code continues)

# Current Implementation: Dual Cleanup System for Maximum Privacy
@app.post("/api/analyze")
async def analyze_report(request: AnalysisRequest):
    try:
        # ... file loading and analysis code ...
        
        # Extract text and analyze with AI
        text_content = await extract_text_from_file(file_path, content_type)
        analysis = await analyze_with_openai(text_content, request.language)
        
        # IMMEDIATE CLEANUP #1: Delete files right after analysis
        try:
# ... (code continues)

# Current Production Privacy Implementation
class Settings(BaseSettings):
    cleanup_delay_hours: int = 24  # Maximum file retention
    max_file_size: int = 10_485_760  # 10MB security limit
    environment: str = "production"
    
    @property
    def allowed_origins(self) -> List[str]:
        """Secure CORS origins for production"""
        return [
            "https://medgpt.me",
            "https://www.medgpt.me", 
# ... (code continues)