mellow-bot

byZeus Sanchez

How I do it?

LandingChat
Landing

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System Requirements

System Requirement Document
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mellow-bot

1. Introduction

The "mellow-bot" project aims to develop an innovative chatbot designed to provide users with a seamless and engaging interaction experience. This document outlines the system requirements necessary to achieve the project's objectives.

2. System Overview

The mellow-bot is envisioned as an intelligent chatbot that can assist users in various tasks, provide information, and engage in natural language conversations. It will leverage advanced AI models to deliver accurate and contextually relevant responses, enhancing user satisfaction and engagement.

3. Functional Requirements

  • As a User, I should be able to initiate a conversation with the mellow-bot to receive assistance.
  • As a User, I should be able to ask the mellow-bot questions and receive informative responses.
  • As a User, I should be able to receive personalized recommendations based on my interaction history with the mellow-bot.
  • As a User, I should be able to provide feedback on the responses received from the mellow-bot.

4. User Personas

  • User: Individuals interacting with the mellow-bot for information, assistance, or entertainment.
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5. Core User Flows

  • User initiates conversation -> mellow-bot greets user -> User asks a question -> mellow-bot provides a response -> User provides feedback (optional).

6. Visuals Colors and Theme

  • primary: #4A90E2 (a calming blue)
  • primary_light: #A6C8FF (a lighter tint of the primary blue)
  • secondary: #F5A623 (a warm amber for emphasis)
  • accent: #D0021B (a vibrant red for CTAs and alerts)
  • highlight: #F8E71C (a bright yellow for notifications)
  • bg: #FFFFFF (a clean white background)
  • surface: rgba(74, 144, 226, 0.1) (a subtle blue for card backgrounds)
  • text: #333333 (a dark gray for primary text)
  • text_muted: #888888 (a softer gray for secondary text)
  • border: rgba(0, 0, 0, 0.1) (a light gray for borders)

7. Signature Design Concept

The mellow-bot homepage will feature an interactive "Zen Garden" theme. Users will be greeted with a serene digital landscape where they can interact with elements like virtual stones and raked sand patterns. As users hover over different areas, the garden subtly animates, creating ripples and shifting patterns. This concept will use framer-motion for smooth animations and gsap for scroll-triggered interactions, providing a calming yet engaging user experience.

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8. Interaction Model & Motion Direction

The landing page will utilize a "parallax" interaction model, creating a layered depth effect as users scroll through the page. Decorative elements like floating leaves and gentle water ripples will move at different speeds, enhancing the tranquil atmosphere. Internal pages will maintain a "static" interaction model to ensure clarity and ease of use.

9. Non-Functional Requirements

  • The system should ensure high availability and quick response times to maintain user engagement.
  • The mellow-bot must comply with data privacy regulations, ensuring user data is securely handled and stored.

10. Tech Stack

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

11. Assumptions and Constraints

  • The chatbot will primarily serve English-speaking users in the US.
  • The system must be scalable to accommodate a growing user base.
  • Internet connectivity is required for accessing the mellow-bot.
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12. Glossary

  • AI: Artificial Intelligence
  • CTA: Call to Action
  • LLM: Large Language Model
  • UI: User Interface
  • UX: User Experience

This document provides a comprehensive overview of the requirements for the mellow-bot project, ensuring all stakeholders have a clear understanding of the system's objectives and functionalities.

Landing design preview
Landing: View Zen Garden
Landing: Explore Features
Landing: Start Chat
Chat: Initiate Conversation
Chat: Ask Question
Chat: View Response
Chat: Ask Follow-up
Chat: View Recommendations
Chat: Explore Suggestion
Feedback: Rate Response
Feedback: Submit Comment