Conci AI : Architecting a Voice AI Concierge for Hospitality : Project Link
This presentation outlines the technical architecture and implementation strategy for a voice-activated AI concierge system designed for hotels. We'll cover the user-facing agent, backend services, staff interface, and the integration of Gemini AI for a seamless guest experience.
System Overview: A Unified Approach
Our system comprises three core components working in synergy to deliver an intelligent and responsive hotel concierge experience.
Edge Device (ESP32 S3)
Voice activation and local processing on microcontrollers for rapid response.
Python Backend & AI
Centralized logic, data handling, and Gemini AI integration for complex queries.
Staff Dashboard
A dedicated interface for managing requests, bookings, and user details.
User-Side Interaction: Voice-First Experience
The user experience is designed around natural voice interaction, making it intuitive and accessible for hotel guests.
1
Microcontroller (ESP32 S3 Touch LCD 1.46)
Low-power, cost-effective hardware for voice command triggering ("Hey Conci").
2
Real-time Audio Processing
Efficiently captures and transmits voice input to the backend.
3
Concise Audio Responses
AI provides short, crisp verbal answers for quick comprehension.
Backend Architecture: Python & Gemini AI
The Python backend is the brain of the operation, orchestrating AI responses and managing user requests.
Voice Input Reception
Receives audio streams from edge devices.
Gemini AI Integration
Processes natural language queries with hotel-specific context via source prompts.
Dynamic User Context
Fetches user name and room number from the database for personalized AI interactions.
Conditional Request Logging
Distinguishes general queries from specific requests/complaints, logging only the latter.
Staff Dashboard: Management & Insights
The staff dashboard is a crucial tool for hotel management, providing oversight and control.
  • Booking Management: Staff can create, modify, and view user bookings.
  • User Details: Centralized access to guest information for personalized service.
  • Requests/Complaints Section: A dedicated queue for AI-identified guest requests or issues.
  • User Behavior Analysis: Tools to analyze AI interaction data for service improvement.
Data Flow and Personalization
Personalization is key to a superior guest experience, driven by efficient data flow.
1
Staff Creates Booking
User details (name, room no.) entered via dashboard and stored.
2
User Voice Command
Guest initiates interaction with "Hey Conci."
3
Backend Fetches Details
Python server retrieves relevant user data from the database.
4
Personalized AI Response
Gemini AI incorporates user context for tailored answers. Powered by Eleven labs voices to match the human voices
AI Contextualization: Hotel-Specific Knowledge
To ensure accurate and relevant responses, the Gemini AI model is pre-configured with a rich, hotel-specific knowledge base.
Hotel Services
Information on amenities, restaurants, spa, pool hours, and facilities.
Room Features
Details on room types, minibar contents, Wi-Fi, and in-room dining.
Local Attractions
Recommendations for nearby sights, transportation, and events tailored to guest interests.
Key Takeaways & Next Steps
Our voice AI concierge system offers a robust solution for enhancing guest experience and operational efficiency.
95%
Guest Satisfaction
Anticipated increase through instant, personalized service.
30%
Staff Efficiency
Projected reduction in routine inquiries handled by staff.
100%
Request Tracking
Complete visibility and management of all guest requests.
Next Steps: Prototype development for ESP32 integration, backend API development for Gemini, and iterative dashboard UI/UX design.
System Design
Our system leverages cost-effective ESP32 microcontrollers with integrated audio components to deliver a premium voice AI experience.
ESP32 S3 1.46 LCD Touch Microcontroller
  • Wi-Fi, Bluetooth enabled for connectivity
  • Low power consumption
  • Real-time audio processing capability
Digital Microphone Module
  • High-quality voice capture
  • "Hey Conci" wake word detection
  • Noise cancellation features
Compact Speaker
  • Clear audio output for AI responses
  • Compact form factor
  • Integrated amplifier
Enclosure & Components
  • Professional circular portable design with touch display
  • Have screw setups to mount on any surface
  • LED indicators
ESP32 Hardware Architecture
Voice Input
Guest speaks "Hey Conci" → ESP32 captures audio
Internet Transmission
Audio data sent to Python backend via hotel Wi-Fi
AI Processing
Gemini AI processes query with hotel context
Audio Response
AI response delivered through device speaker
Hardware Budget & Cost Analysis
A comprehensive breakdown of the hardware costs for implementing the voice AI concierge system across hotel rooms.
$5
ESP32 Device
Per room microcontroller unit with voice activation capabilities
$10
Audio Components
Bluetooth speakers for clear voice interaction
$5
Enclosure & Setup
Professional housing, mounting, and installation materials
$20
Total Per Room
Complete hardware cost for each guest room deployment
Scaling Considerations
  • 100-room hotel: $2,000 total hardware investment
  • 250-room hotel: $5,000 total hardware investment
  • 500-room hotel: $10,000 total hardware investment

ROI Timeline: Expected payback within 6-12 months through improved guest satisfaction and operational efficiency.
Software Budget & Cost Analysis
Understanding the ongoing software expenditures is crucial for the long-term sustainability and scalability of the Conci AI system.
$20
AI API Calls
Estimated monthly cost for Gemini AI usage based on anticipated query volume.
$50
Cloud Hosting
Costs for backend servers, database, and data storage on a robust cloud platform.
$10
Maintenance & Updates
Budget for ongoing software development, bug fixes, and feature enhancements.
$10
Monitoring & Support
Tools and personnel for system uptime, performance monitoring, and issue resolution.
$90
Estimated Monthly Total
Overall projected recurring software cost for the operational system.
These figures represent a proactive approach to ensure the Conci AI system remains performant, secure, and continuously evolving to meet guest needs.
Project Timeline: Enterprise Deployment
A comprehensive 12-week plan to roll out the Conci AI voice concierge system across multiple hotel locations.
1
Weeks 1-2: Pilot Deployment
Implement Conci AI at a single hotel location, gather user feedback, and refine the system.
2
Weeks 3: Hardware Procurement
Source and configure the required ESP32 devices for all target hotel locations.
3
Weeks 4-6: Enterprise Integration
Integrate Conci AI with each hotel's existing systems, including booking, CRM, and staff tools.
4
Weeks 7-: Staff Training
Provide comprehensive training for hotel staff on using and managing the Conci AI system.
5
Week 8: Phased Rollout
Deploy Conci AI across all target hotel locations, with a gradual release to ensure a smooth transition.

Enterprise-Ready Approach: This extended timeline ensures a methodical, scalable deployment that minimizes disruption and maximizes long-term success.
Made with