System Requirements Document (SRD)

Project Name: azure-app

1. Introduction

The azure-app is an English communication application designed to cater to users aged 21-70 years. It combines spoken and written communication skills through interactive quizzes and assessments. The app is designed to be inclusive, offering multiple levels of engagement and progression, ensuring users can improve their communication skills regardless of their starting point.

This document outlines the system requirements for the azure-app, incorporating adaptive assessments and predefined levels (beginner, intermediate, advanced) as resolved by the API supervisor.

2. System Overview

The azure-app aims to provide a comprehensive platform for improving English communication skills. It integrates spoken and written exercises, quizzes, and assessments tailored to individual user needs. The app will feature:

• Adaptive learning paths based on user performance.
• Predefined levels (beginner, intermediate, advanced) for structured progression.
• Speech-to-text functionality for spoken communication assessments.
• Writing prompts and grammar exercises for written communication improvement.
• A user-friendly interface designed for accessibility across all age groups.

The app will be available on both web and mobile platforms, ensuring accessibility and convenience for users in India and globally.

3. Functional Requirements

Story Points:

• As a User, I should be able to take quizzes that test both spoken and written communication skills.
• As a User, I should be able to receive adaptive assessments based on my performance.
• As a User, I should be able to select predefined levels (beginner, intermediate, advanced) to start my learning journey.
• As a User, I should be able to use speech-to-text functionality for spoken communication exercises.
• As a User, I should be able to complete writing prompts and grammar exercises to improve my written communication.
• As an Admin, I should be able to manage user levels and monitor progress analytics.
• As an Admin, I should be able to upload new quizzes and assessments periodically.
• As an Admin, I should be able to configure adaptive learning algorithms.

4. User Personas

User

• Age: 21-70 years
• Goals: Improve English communication skills (spoken and written).
• Needs: Adaptive learning paths, engaging quizzes, and structured progression.

Admin

• Role: Manage content, monitor user progress, and configure learning algorithms.
• Goals: Ensure smooth operation of the app and maintain content relevance.

5. Visuals Colors and Theme

Color Palette:

• Background: #F5F9FF (Soft Sky Blue)
• Surface: #FFFFFF (Pure White)
• Text: #2D3748 (Charcoal Gray)
• Accent: #4A90E2 (Azure Blue)
• Muted Tones: #B0BEC5 (Soft Steel Gray)

The azure-app will feature a clean, professional design with a focus on accessibility and user engagement. The color palette is inspired by the app's name, emphasizing clarity and calmness.

6. Signature Design Concept

Interactive Learning Galaxy

The homepage of the azure-app will feature an Interactive Learning Galaxy. Users will navigate through a dynamic, animated galaxy where each star represents a quiz, assessment, or learning module.

• Visuals: Stars and planets glow softly, with trails of light connecting them. Hovering over a star reveals its name and level (e.g., Beginner Grammar Quiz).
• Animations: Stars pulse gently, and planets rotate slowly to create a sense of motion.
• Interactions: Clicking on a star zooms into its content, transitioning smoothly into the quiz or assessment.
• Color Shifts: The galaxy's background subtly changes hues (Azure Blue to Soft Sky Blue) based on the time of day.
• Micro-interactions: Completing a module causes the star to "burst" into a celebratory animation, rewarding the user visually.

This design concept ensures the homepage is unforgettable, engaging, and encourages exploration.

7. Non-Functional Requirements

• The app must support both web and mobile platforms.
• The app must be optimized for low-bandwidth environments, ensuring accessibility in rural areas.
• The app must comply with accessibility standards for users with disabilities.
• The app must support localization for Indian languages in addition to English.
• The app must ensure data security and privacy compliance as per Indian regulations.

8. Tech Stack

Frontend:

• React for Web
• React Native for Mobile

Backend:

• Python
• FastAPI

Database:

• MySQL (preferred) or MariaDB for structured data.
• MongoDB for unstructured data.

AI Models:

• GPT 5.4 for user-friendly responses.
• Claude 4.6 Opas for academic or coding work.
• Gemini 3.1 Pro for friendly responses.
• Google Nano Banana for image generation.

AI Tools:

• Litellm for LLM Routing.
• Langchain for AI workflow orchestration.

Local Orchestration:

• Docker
• docker-compose

Server-side Orchestration:

• Kubernetes

9. Assumptions and Constraints

Assumptions:

• Users will have basic familiarity with smartphones or computers.
• The app will primarily target users in India but will be accessible globally.
• Users will have access to stable internet connections for app functionality.

Constraints:

• The app must comply with Indian data protection laws.
• The app must be scalable to accommodate a large user base.
• The app must support multiple device types and screen sizes.

10. Glossary

• Adaptive Learning: A system that adjusts content difficulty based on user performance.
• Speech-to-Text: Technology that converts spoken words into written text.
• Predefined Levels: Fixed learning stages (beginner, intermediate, advanced) for structured progression.
• LLM Routing: Large Language Model routing for AI-based responses.
• Localization: Adapting content to suit regional languages and cultural contexts.

End of Document