System Requirements Document (SRD)

Project Name: gamma-algovision

1. Introduction

gamma-algovision is an educational web application designed to transform complex Data Structures and Algorithms (DSA) into interactive visual diagrams. The platform is tailored for Computer Science students, job seekers, and self-learners, aiming to bridge the gap between theoretical understanding and practical application. By providing both pre-built algorithm visualizations and the ability for users to input their own logic, gamma-algovision ensures accessibility for beginners while offering flexibility for advanced users.

This document outlines the system requirements for gamma-algovision, ensuring a clear roadmap for development and implementation.

2. System Overview

gamma-algovision is a dual-purpose platform that:

1. Provides interactive visualizations for commonly taught algorithms (e.g., sorting, searching, graph traversal).
2. Allows users to input custom logic for visualization, enabling advanced exploration and experimentation.

The system will feature step-by-step execution, code snippets alongside diagrams, and user annotations to enhance understanding. It will be accessible via web browsers and optimized for learners in India (IN), with locale-specific defaults such as IST timezone and INR currency for any premium features.

3. Functional Requirements

• As a User, I should be able to view pre-built visualizations for common DSA algorithms like sorting, searching, and graph traversal.
• As a User, I should be able to input custom logic/code for visualization.
• As a User, I should be able to execute algorithms step-by-step to understand their flow.
• As a User, I should be able to view code snippets alongside the visual diagrams.
• As a User, I should be able to annotate visualizations for personal notes and better understanding.
• As an Admin, I should be able to manage the library of pre-built algorithms and update them as needed.
• As an Admin, I should be able to monitor user activity and feedback to improve the platform.

4. User Personas

1. Student:

   • Age: 18-25
   • Goal: Learn DSA concepts interactively for academic purposes.
   • Needs: Pre-built visualizations, step-by-step execution, and annotations.

2. Job Seeker:

   • Age: 22-30
   • Goal: Prepare for technical interviews by mastering DSA.
   • Needs: Pre-built visualizations, custom logic input, and code snippets.

3. Self-Learner:

   • Age: 25-40
   • Goal: Explore DSA concepts for personal or professional growth.
   • Needs: Custom logic input, advanced visualizations, and annotations.

4. Admin:

   • Role: Manage the platform, update content, and monitor user activity.

5. Visuals Colors and Theme

The visual identity of gamma-algovision will be modern, vibrant, and educational, reflecting its purpose as a learning tool. Below is the unique color palette:

• Background: #F5F9FF (soft blue-white for a clean, calming backdrop)
• Surface: #FFFFFF (pure white for cards and interactive elements)
• Text: #2C3E50 (dark slate for high readability)
• Accent: #3498DB (vivid blue for highlights and interactive elements)
• Muted: #95A5A6 (soft gray for secondary information and borders)

6. Signature Design Concept

Interactive Algorithm Galaxy:
The homepage will feature an interactive galaxy map where each star represents a different algorithm. Users can navigate the galaxy by zooming in and out, clicking on stars to explore specific algorithms.

• Animation: Stars will gently pulse, and constellations will form dynamically as users hover over related algorithms (e.g., sorting algorithms forming a constellation).
• Transitions: Smooth zooming and panning effects will create a seamless exploration experience.
• Interaction: Clicking on a star will open a detailed view with the algorithm's visualization, code snippet, and step-by-step execution options.
• Color Shifts: The galaxy background will subtly shift colors based on the time of day (e.g., warm tones in the morning, cool tones at night).
• Micro-interactions: Hovering over stars will display a tooltip with the algorithm's name and a brief description.

This design will make the platform instantly engaging and memorable, encouraging users to explore and learn.

7. Non-Functional Requirements

• The system must support at least 1,000 concurrent users.
• The platform should load visualizations within 2 seconds for optimal user experience.
• The system must be accessible on all modern web browsers (Chrome, Firefox, Safari, Edge).
• The platform should comply with accessibility standards (WCAG 2.1).
• Data entered by users (e.g., custom logic) must be securely stored and processed.

8. Tech Stack

• Frontend: React for Web
• Backend: Python with FastAPI
• Database (RDBMS): MySQL with Alembic for migrations
• AI Models: GPT 5.2 for user-friendly responses, Claude 4.5 Opas for academic or coding work
• AI Tools: LangChain, LiteLLM for LLM routing
• Local Orchestration: Docker, docker-compose
• Server-Side Orchestration: Kubernetes

9. Assumptions and Constraints

• The platform will primarily target users in India, with IST as the default timezone and INR as the currency for any premium features.
• Users will require an active internet connection to access the platform.
• The system will not support offline functionality.
• Custom logic input will be limited to supported programming languages (e.g., Python, JavaScript).

10. Glossary

• DSA: Data Structures and Algorithms.
• IST: Indian Standard Time.
• RDBMS: Relational Database Management System.
• LLM: Large Language Model.
• WCAG: Web Content Accessibility Guidelines.