Ocean-Chatbot System Requirements Document

Introduction

The Ocean-Chatbot project aims to develop an advanced chatbot application specifically designed for customer support. This chatbot will enhance user satisfaction and efficiency by automating interactions and providing both text and voice-based responses.

System Overview

The Ocean-Chatbot is a versatile application tailored for customer support, capable of handling both text and voice inquiries. It will integrate seamlessly into existing customer service frameworks, providing users with an intuitive and responsive interface. The chatbot will leverage advanced AI models to understand and respond to user queries effectively.

Functional Requirements

• As a Customer, I should be able to interact with the chatbot via text.
• As a Customer, I should be able to interact with the chatbot via voice.
• As a Customer Support Agent, I should be able to view and manage chatbot interactions.
• As an Admin, I should be able to configure and update the chatbot's knowledge base.
• As an Admin, I should be able to access analytics on chatbot performance.

User Personas

• Customer: Individuals seeking support or information through the chatbot interface.
• Customer Support Agent: Personnel responsible for overseeing chatbot interactions and providing additional support if needed.
• Admin: Users with the ability to manage and configure the chatbot's settings and access performance data.

Visuals Colors and Theme

• primary: #1A73E8 (a deep ocean blue)
• primary_light: #4D90FE (a lighter tint of ocean blue)
• secondary: #FF7043 (a coral hue for emphasis)
• accent: #FFD700 (a vibrant gold for CTAs and active states)
• highlight: #FFA726 (a warm amber for hover states and notifications)
• bg: #F5F5F5 (a light, neutral background color)
• surface: rgba(255, 255, 255, 0.9) (a soft white for cards and panels)
• text: #212121 (a dark charcoal for primary text)
• text_muted: #757575 (a muted gray for secondary text)
• border: rgba(33, 33, 33, 0.1) (a subtle border color)

Signature Design Concept

The Ocean-Chatbot will feature an interactive ocean-themed landing page. Users will be greeted by a dynamic, animated ocean scene where the chatbot interface appears as a floating message in a bottle. As users scroll, the ocean waves gently animate, and marine life such as fish and dolphins swim across the screen, creating a calming and engaging experience.

The chatbot interface will utilize @react-three/fiber for 3D animations, allowing users to click and drag the bottle to reveal different sections of the chatbot's capabilities. Hovering over marine life will trigger subtle animations, providing an interactive and immersive experience.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, with layered depth effects as users scroll. The ocean scene will have decorative layers that move at different speeds, creating a sense of depth and immersion. The chatbot interface will feature animated transitions and hover effects, enhancing user engagement.

Internal pages, such as settings and analytics, will adopt a "static" interaction model to prioritize clarity and ease of use.

Non-Functional Requirements

• The system must support high concurrency to handle multiple user interactions simultaneously.
• The chatbot should provide responses within 2 seconds to ensure a seamless user experience.
• The application must be accessible and comply with WCAG 2.1 standards.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4 for user-friendly responses
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The chatbot will primarily serve English-speaking users in India, with potential for multilingual support in the future.
• The system will be hosted on cloud infrastructure to ensure scalability and reliability.
• User data privacy and security will be maintained in compliance with relevant regulations.

Glossary

• Chatbot: An AI-driven application designed to simulate conversation with human users.
• LLM: Large Language Model, a type of AI model used for understanding and generating human language.
• WCAG: Web Content Accessibility Guidelines, standards for making web content more accessible.

This document outlines the comprehensive requirements and design concepts for the Ocean-Chatbot project, ensuring a robust and user-friendly customer support solution.