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plan.yaml
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# Salon Booking AI Voice Agent - System Design & Implementation Plan
"""
High-Level Architecture:
1. Voice Interface Layer
- Speech-to-text conversion using Google Cloud Speech-to-Text or Amazon Transcribe
- Natural Language Processing using DialogFlow or Rasa for intent recognition
- Text-to-speech for responses using Amazon Polly or Google Cloud TTS
2. Booking Management Layer
- Real-time availability checking system
- Staff/branch management
- Service catalog
- Appointment scheduling engine
3. Payment Processing Layer
- Secure payment gateway integration
- PCI compliance handling
- Payment confirmation system
4. Database Layer
- Customer profiles
- Appointment records
- Staff/service information
- Branch details
Core Components & Implementation Steps:
1. Voice Processing Module:
- Implement continuous voice input stream
- Convert speech to structured commands
- Natural conversation flow management
- Context maintenance during conversation
2. Appointment Engine:
- Real-time slot availability checker
- Conflict resolution
- Multi-branch coordination
- Staff availability management
3. Service Management:
- Service catalog with pricing
- Duration estimation
- Staff expertise matching
- Branch-specific service offerings
4. Payment Handler:
- Secure payment info collection
- Transaction processing
- Receipt generation
- Payment confirmation
5. Booking Flow:
a. Initial greeting and service inquiry
b. Service type confirmation
c. Stylist preference check
d. Date/time slot suggestion
e. Customer details confirmation
f. Payment processing
g. Booking confirmation
Technologies to Consider:
- Backend: Python/FastAPI or Node.js/Express
- Voice Processing: Google Cloud Speech API
- NLP: DialogFlow
- Database: PostgreSQL
- Payment: Stripe API
- Real-time Updates: WebSocket
- Authentication: JWT
- Infrastructure: AWS/GCP
Testing Strategy:
1. Unit tests for core business logic
2. Integration tests for API endpoints
3. Voice recognition accuracy testing
4. Load testing for concurrent bookings
5. Payment flow security testing
6. End-to-end conversation flow testing
Security Considerations:
- Voice authentication
- Payment data encryption
- Personal information protection
- Session management
- API security
"""