EduShare System Requirements Document

1. Introduction

EduShare is an innovative platform that combines AI-powered learning with personalized expert support. It aims to provide students with a comprehensive learning experience by integrating recorded courses, automatically generated practice materials, and live expert assistance. This document outlines the system requirements for EduShare, focusing on its unique features and functionalities.

2. System Overview

EduShare is designed to bridge the gap between content consumption and personalized academic assistance. The platform offers a unified ecosystem where students can learn, practice, and receive guidance. Key features include:

• AI-generated chapter-wise MCQs, important questions, key concepts, and numerical practice problems.
• Live one-on-one doubt-solving sessions on a pay-per-doubt basis.
• Teacher and student dashboards for managing content and interactions.
• Multilingual communication and performance tracking.
• A pay-per-doubt model to make education affordable and accessible.

3. Functional Requirements

• As a Student, I should be able to access recorded courses with automatically generated MCQs, key concepts, important questions, and numerical practice sets.
• As a Student, I should be able to book one-on-one live doubt-solving sessions.
• As a Student, I should be able to upload text, images, PDFs, assignments, or project-related queries for personalized solutions.
• As a Student, I should be able to connect with verified subject experts through chat, audio, or live video sessions.
• As a Student, I should be able to pay per doubt instead of purchasing subscriptions.
• As a Teacher, I should be able to upload videos and create a channel on the platform.
• As a Teacher, I should be able to provide study materials and upload them to the platform.
• As a Teacher, I should be able to accept or decline doubt sessions based on a shared doubt code.
• As a Student, I should be able to choose the duration of doubt sessions (e.g., 30 min, 45 min, 1 hour, 1:30 hours).
• As a Student, I should be able to request personal chapter or topic learning sessions.

4. User Personas

• Student: A learner from classes 1 to 12 who uses the platform for accessing courses, practice materials, and expert assistance.
• Teacher: An educator who uploads educational content, provides study materials, and assists students through doubt-solving sessions.

5. Core User Flows

• Student accesses recorded course -> AI generates MCQs and practice sets -> Student practices -> Books doubt session -> Connects with Teacher -> Receives personalized guidance.
• Teacher uploads video content -> Creates channel -> Provides study materials -> Receives doubt session request -> Accepts/declines based on doubt code -> Conducts session.

6. Visuals Colors and Theme

• primary: #2E86C1 (Deep Blue)
• primary_light: #AED6F1 (Light Blue)
• secondary: #F39C12 (Amber)
• accent: #E74C3C (Red)
• highlight: #F7DC6F (Gold)
• bg: #F4F6F7 (Light Gray)
• surface: rgba(255, 255, 255, 0.9)
• text: #2C3E50 (Dark Slate)
• text_muted: #7F8C8D (Gray)
• border: rgba(44, 62, 80, 0.2)

7. Signature Design Concept

The EduShare homepage will feature an interactive galaxy map where each star represents a feature or section of the platform. Users can click on a star to open a task card, drag to rotate the cluster, and hover to highlight connections. This concept will be implemented using @react-three/fiber and @react-three/drei for a 3D experience, making the homepage both engaging and informative.

8. Interaction Model & Motion Direction

The landing page will use a "parallax" interaction model, providing a layered depth experience via scroll. Decorative layers will translate at different speeds, while real content scrolls naturally. This model is ideal for creating a visually rich first impression and storytelling.

9. Non-Functional Requirements

• The platform must support multilingual communication.
• The system should ensure secure access control for all users.
• The platform should be scalable to accommodate a growing number of users and content.

10. Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4, Claude 4.6 Opas
• AI Tools: Litellm, Langchain
• Orchestration: Docker, Kubernetes

11. Assumptions and Constraints

• The platform will initially target students from classes 1 to 12.
• The pay-per-doubt model assumes a reliable payment gateway integration.
• The AI-generated content must be accurate and relevant to the educational material.

12. Glossary

• MCQs: Multiple Choice Questions
• AI: Artificial Intelligence
• USP: Unique Selling Proposition
• Doubt Code: A unique identifier for doubt sessions

This document provides a comprehensive overview of the system requirements for EduShare, ensuring that all functionalities and features are clearly defined and aligned with the project's goals.