System Requirements Document for swift-live

This document outlines the system requirements for a travel assistant application named "swift-live." The application is designed to provide users with personalized travel itineraries and chatbot assistance. It is structured using a Streamlit framework and includes components for itinerary generation, user interaction, and preference management.

The swift-live travel assistant application is a web-based platform that leverages Streamlit to deliver a seamless user experience. It integrates itinerary generation, chatbot interaction, and user preference management to offer personalized travel planning services. The application is accessible via modern web browsers and is designed to handle up to 10,000 concurrent users.

Product Interpretation and Delivery Boundary

swift-live is delivered as a live web-based platform, accessible through modern web browsers. It is built using Streamlit for the frontend and Python for application logic. The application relies on predefined destination data and mood mappings stored in JSON files. User data is securely stored and transmitted according to industry standards. The application includes a self-service enrollment process for travelers before they can save or resume interactions, with verification required for accessing saved itineraries, preferences, or chatbot conversations.

Page Content and Component Coverage

Landing

• Purpose: Introduce the travel assistant, explaining its purpose and providing a route into travel planning and assistance.
• Components:
  • Introduction to the application
  • Overview of features
  • Call-to-action to start planning or chat

Planning

• Purpose: Workspace where the traveler enters preferences and submits them to generate a personalized itinerary using curated destinations.
• Components:
  • Preference input form
  • Submit button to generate itinerary
  • Feedback on itinerary generation status

Itinerary

• Purpose: Focused destination for reviewing and saving the generated personalized itinerary for later use.
• Components:
  • Display of generated itinerary
  • Options to save or modify itinerary
  • Feedback on save status

Chat

• Purpose: Conversational destination where the traveler starts or resumes conversations, asks travel questions, and receives mood- and preference-informed recommendations.
• Components:
  • Chat interface
  • Input field for questions or requests
  • Display of chatbot responses and recommendations

Preferences

• Purpose: Destination for managing and saving durable travel preferences reused by planning and recommendations.
• Components:
  • Preference management form
  • Save preferences button
  • Feedback on save status

Login

• Purpose: Returning verification for the traveler to resume saved itineraries, conversations, and preferences.
• Components:
  • Login form
  • Verification process
  • Feedback on login status

• As a Traveler, I want to generate a travel itinerary based on my preferences, so that I can have a personalized travel plan. (explicit)
• As a Traveler, I want the itinerary to include destination details from a predefined list, so that I can choose from curated travel options. (explicit)

• As a Traveler, I want to interact with a chatbot to ask travel-related questions, so that I can receive instant assistance and information. (explicit)
• As a Traveler, I want the chatbot to provide recommendations based on my mood, so that I can explore travel options that suit my current preferences. (explicit)

• As a Traveler, I want to manage my travel preferences, so that the application can tailor itineraries and recommendations to my liking. (explicit)
• As a Traveler, I want to save my preferences for future use, so that I do not have to re-enter them each time I use the application. (explicit)

• Traveler: A user who seeks personalized travel itineraries and interacts with the chatbot for travel advice and recommendations. The Traveler enters travel preferences, generates and reviews personalized itineraries, saves them, and interacts with the chatbot for travel advice and mood-based recommendations.

1. The Traveler accesses the application via the Landing page.
2. The Traveler navigates to the Planning page and inputs their travel preferences.

4. The Traveler reviews the itinerary on the Itinerary page and saves it for future use.

1. The Traveler accesses the application and navigates to the Chat page.
2. The Traveler initiates a conversation with the chatbot by asking questions or requesting recommendations.
3. The chatbot provides responses and suggestions based on the Traveler's mood and preferences.

Preference Management Flow

1. The Traveler accesses the Preferences page.
2. The Traveler manages and updates their travel preferences.
3. The Traveler saves the updated preferences for future use.

• Background: #FAF9F6
• Surface: #E3E2DF
• Text: #333333
• Primary: #4CAF50
• Accent: #009688
• Muted: #B0BEC5

• Design Concept: A clean and intuitive interface that emphasizes ease of use and quick access to travel information. The interface features rounded cards with subtle shadow effects, animated breathing transitions, and primary buttons with soft gradients reflecting natural tones.

• Motion Tempo: Restrained; hero dimensionality: layered_2d.

• The application is a live web-based platform accessible via modern web browsers.

• Destination and mood mapping data are stored in JSON files.
• Frontend technology is Streamlit and application logic is Python.