System Requirements Document (SRD)

Project Name: stone-hospitality

1. Introduction

The stone-hospitality project aims to develop a universal hospitality chatbot designed to enhance guest experiences, streamline staff operations, and provide seamless event attendee support. This chatbot will serve as a centralized, intelligent assistant accessible to all user types, ensuring inclusivity and efficiency in the hospitality domain.

This document outlines the system requirements for the stone-hospitality chatbot, ensuring it meets the needs of its diverse user base while adhering to high standards of functionality, design, and performance.

2. System Overview

The stone-hospitality chatbot will be a multi-platform solution accessible via web, mobile, and voice interfaces. It will cater to a universal user base, including hotel guests, event attendees, and staff members. The chatbot will provide services such as answering FAQs, handling bookings, offering personalized recommendations, and assisting staff with operational tasks.

The system will leverage advanced AI models to ensure natural and intuitive interactions, while its design will reflect the elegance and professionalism of the hospitality industry.

3. Functional Requirements

• As a Guest, I should be able to ask questions about hotel amenities, services, and nearby attractions.
• As a Guest, I should be able to make bookings for rooms, events, or services directly through the chatbot.
• As a Guest, I should be able to receive personalized recommendations based on my preferences.
• As an Event Attendee, I should be able to inquire about event schedules, venues, and logistics.
• As an Event Attendee, I should be able to register for events and receive updates through the chatbot.
• As a Staff Member, I should be able to retrieve quick information about guest requests, schedules, or operational details.
• As a Staff Member, I should be able to coordinate tasks and communicate with other staff members via the chatbot.
• As a Universal User, I should be able to interact with the chatbot using text-based chat or voice commands.
• As a Universal User, I should be able to access the chatbot on both web and mobile platforms.

4. User Personas

4.1 Guest

• Description: Individuals staying at the hotel or visiting the hospitality venue.
• Needs: Information about services, bookings, and personalized recommendations.
• Interaction Mode: Text-based chat and voice commands.

4.2 Event Attendee

• Description: Individuals attending events hosted at the venue.
• Needs: Event schedules, venue details, and registration assistance.
• Interaction Mode: Text-based chat and voice commands.

4.3 Staff Member

• Description: Employees working at the hospitality venue.
• Needs: Quick access to operational information, task coordination, and communication tools.
• Interaction Mode: Text-based chat and voice commands.

5. Visuals Colors and Theme

Color Palette

The stone-hospitality chatbot will feature a sophisticated and welcoming color palette inspired by the elegance of the hospitality industry:

• Background: #F5F5F3 (Soft Ivory)
• Surface: #EAE7DC (Warm Beige)
• Text: #333333 (Deep Charcoal)
• Accent: #D4A373 (Golden Sand)
• Muted Tones: #B8B8B4 (Subtle Gray)

6. Signature Design Concept

Concept: Interactive Hospitality Map

The homepage of the stone-hospitality chatbot will feature an Interactive Hospitality Map that visually represents the venue or hotel layout. Users will see a beautifully illustrated map with clickable sections for rooms, amenities, event spaces, and staff areas.

• Animation: Sections of the map will subtly glow when hovered over, inviting interaction. Clicking on a section will zoom into that area, revealing detailed information and chatbot prompts.
• Transitions: Smooth zoom-in and zoom-out effects, with micro-interactions like icons gently pulsing to indicate active areas.
• Color Shifts: The map will adjust its color palette based on the time of day (e.g., warm tones during the day, cooler tones at night).
• Interaction Patterns: Users can drag the map, click on areas, or use voice commands to navigate directly to specific sections.
• Micro-Interactions: Icons for amenities (e.g., pool, spa, restaurant) will animate slightly to indicate availability or status.

This bold design concept will make the chatbot visually engaging and instantly memorable, while also providing practical functionality.

7. Non-Functional Requirements

• Scalability: The system must support high traffic volumes, accommodating simultaneous interactions from guests, attendees, and staff.
• Accessibility: The chatbot must comply with ADA standards, ensuring usability for individuals with disabilities.
• Performance: Response times should not exceed 2 seconds for any query.
• Security: All user data must be encrypted and stored securely, adhering to GDPR and CCPA regulations.
• Localization: The chatbot must support multiple languages, with English as the default for the US market.

8. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database

• MySQL (with Alembic for migrations)

AI Models

• GPT 5.2 for user-friendly responses
• Claude 4.5 Opas for academic or coding work
• Gemini 3 Pro for friendly responses
• Google Nano Banana for image generation

AI Tools

• Litellm for LLM Routing
• Langchain

Local Orchestration

• Docker
• Docker-Compose

Server-Side Orchestration

• Kubernetes

9. Assumptions and Constraints

• The chatbot will primarily serve users in the US, with English as the default language.
• The system must integrate seamlessly with existing hospitality management software.
• Voice interaction will require integration with popular voice assistants (e.g., Alexa, Google Assistant).
• The chatbot will be hosted on cloud infrastructure to ensure scalability and reliability.

10. Glossary

• ADA: Americans with Disabilities Act, ensuring accessibility for individuals with disabilities.
• GDPR: General Data Protection Regulation, governing data privacy in the EU.
• CCPA: California Consumer Privacy Act, governing data privacy in California, USA.
• LLM: Large Language Model, an AI model designed for natural language processing tasks.
• Docker: A platform for developing, shipping, and running applications in containers.
• Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.

This updated SRD ensures the stone-hospitality chatbot is designed to meet the needs of a universal user base while delivering a visually stunning and functionally robust experience.