System Requirements Document for clever-chat

1. Introduction

The clever-chat project aims to develop a chatbot specifically designed for students. The chatbot will provide assistance and answers to students' queries, enhancing their learning experience through friendly and engaging interactions. The primary audience for this product includes students and a chat bot manager responsible for maintaining the chatbot's content and behavior.

2. System Overview

The clever-chat system is a student-focused chatbot platform that facilitates interaction between students and an AI-driven chatbot. The system also includes a management interface for a chat bot manager to configure and oversee the chatbot's operations. The product is designed to be approachable and engaging, aligning with the educational needs of students.

2a. Product Interpretation and Delivery Boundary

The system will deliver a chatbot experience for students, with a management interface for overseeing the chatbot's operations. The product is intended for students, and the chatbot manager will have the ability to configure and maintain the chatbot. The system requires application-owned identity for access to protected workflows, ensuring secure and personalized interactions. The current scope does not include adjacent capabilities such as advanced analytics or external integrations beyond the chatbot's core functionality.

2b. Source Content Inventory

Not applicable as there is no explicit content_source directive.

2c. Page Content and Component Coverage

Landing

• Purpose: Introduce the student-support chat bot and explain its functionality.
• Components:
  • Introduction to the chatbot's features and benefits.
  • Call-to-action for students to engage with the chatbot.
  • Visuals: Large illustration of a student character interacting with the chat bot.
  • Navigation to login or chat pages.

Login

• Purpose: Provide access for students and chat bot managers to protected workflows.
• Components:
  • Fields for username and password input.
  • Authentication process for returning users.
  • Error handling for incorrect login attempts.

Chat

• Purpose: Facilitate student interactions with the chatbot for assistance.
• Components:
  • Chat interface for students to ask questions and receive answers.
  • Display of conversation history.
  • Options for students to rate the chatbot's responses.

Bot Management

• Purpose: Allow chat bot managers to configure and oversee the chatbot's behavior.
• Components:
  • Dashboard for managing chatbot content and settings.
  • Tools for monitoring chatbot performance and user interactions.
  • Access controls for different management roles.

3. Functional Requirements

• As a Student, I should be able to interact with the chatbot to receive assistance or answers. (Provenance: explicit)
• As a Chat bot manager, I should be able to configure and maintain the chatbot's content and behavior. (Provenance: required_inference)
• As a Student, I should be able to enroll and verify my identity to access the chat. (Provenance: required_inference)
• As a Chat bot manager, I should be able to provision accounts or invite new managers and verify their identity. (Provenance: required_inference)
• The chatbot should have pre-configured content or behavior available before providing assistance. (Provenance: required_inference)

4. User Personas

• Student: The primary user of the chatbot, seeking assistance or answers to educational queries.
• Chat bot manager: Responsible for configuring, maintaining, and overseeing the chatbot's operations to ensure it meets students' needs.

5. Core User Flows

Student Interaction Flow

1. Landing Page: Student visits the landing page and learns about the chatbot.
2. Login: Student logs in using their credentials.
3. Chat: Student engages with the chatbot, asking questions and receiving answers.
4. Feedback: Student provides feedback on the chatbot's responses.

Chat Bot Manager Flow

1. Login: Manager logs in using their credentials.
2. Bot Management: Manager accesses the dashboard to configure chatbot settings and monitor performance.
3. Content Update: Manager updates the chatbot's content to improve student interactions.

6. Visuals Colors and Theme

• Muse: Pablo Stanley
• Palette:
  • Background: #FFF8E7
  • Surface: #FFFFFF
  • Text: #333333
  • Primary: #FF6F61
  • Accent: #FFD166
  • Muted: #A9A9A9
• Typography:
  • Headings: Nunito — Bold
  • Body: Manrope
  • Scale: 1.25 modular, 48/36/24/18/16
• Shape Language: Big rounded radii, pill buttons, blob-like sections
• Layout: Asymmetric with large illustrations and interactive elements
• Motion: Springy micro-interactions, playful hover states

7. Signature Design Concept

The landing page will feature a full-width vector illustration hero with a student character interacting with the chat bot. The design will use a warm cream background with bold primary elements, rounded corner cards with drop shadows, and interactive buttons with pill shapes and springy animations.

8. Interaction Model & Motion Direction

• Interaction Model: Animated
• Motion Tempo: Expressive
• Hero Dimensionality: Layered_2d
• Landing Hero Motion Brief: A large illustration of a student character interacting with the chat bot, with springy animations and playful hover states. The hero will feature bold primary elements and a warm cream background, with reduced-motion alternatives for accessibility.

9. Non-Functional Requirements

• The system must ensure secure authentication and authorization for both students and chat bot managers.
• The chatbot should provide a responsive and engaging user experience, with minimal latency in interactions.

10. Tech Stack

• Frontend: React
• Backend: Python/FastAPI
• Storage: Appropriate database solution for storing user data and chat history
• Containerization: Docker/docker-compose
• Deployment: Kubernetes (if required for deployment)

11. Assumptions and Constraints

• The product is intended exclusively for students.
• The chatbot manager role is necessary for maintaining the chatbot's effectiveness.
• Application-owned identity is required for secure access to protected workflows.

12. Glossary

• Chatbot: An AI-driven conversational agent designed to assist students.
• Chat bot manager: A role responsible for configuring and maintaining the chatbot.
• Landing Page: The initial page introducing the chatbot to users.
• Login: The process of authenticating users to access protected features.
• Chat Interface: The interactive component where students engage with the chatbot.
• Bot Management: The dashboard for managing chatbot settings and performance.