Maths Quiz using OpenAI - Complete SaaS Project Specification
- Codersarts AI
- Jun 29
- 7 min read
Project Overview
Project Name: MathGenius Pro
Type: Educational SaaS Platform
Target Users:
High school & college students
Maths tutors/teachers
Online learning institutions
Test preparation companies (e.g., SAT, GRE, JEE, etc.)
Tech Stack:
Frontend: React.js (Next.js optional for SEO)
Backend: Node.js with Express
Database: MongoDB
AI Integration: OpenAI API (GPT-4 or GPT-3.5)
Authentication: Firebase Auth or Auth0
Hosting: Vercel (frontend), Render or Railway (backend), MongoDB Atlas
Optional Admin Panel: React Admin or custom-built
File/Asset Storage: Cloudinary or Firebase Storage

Executive Summary
MathGenius Pro is an AI-powered interactive mathematics learning platform that provides personalized tutoring, step-by-step problem solving, and comprehensive topic coverage across all mathematics levels. The platform leverages OpenAI's GPT-4 to generate dynamic solutions, explanations, and practice problems while maintaining a structured curriculum foundation.
A SaaS-based platform for students to learn mathematics through step-by-step tutorials, interactive lessons, and AI-powered problem solving. Teachers can manually input structured tutorials, formulas, and solved examples, while students can read, revise, and input new questions (including past papers or custom problems) to get AI-generated step-by-step solutions.
Key Features & Functionality
1. Core Learning Modules
Topic Library: Comprehensive coverage from basic arithmetic to advanced calculus
Interactive Tutorials: Step-by-step lessons with visual aids and examples
Formula Repository: Searchable database of mathematical formulas with explanations
Practice Problem Bank: Curated collection of problems by difficulty and topic
2. AI-Powered Features
Intelligent Problem Solver: Students input any math problem and receive step-by-step solutions
Solution Explanation: Detailed breakdown of each step with reasoning
Similar Problem Generator: AI creates variations of solved problems for practice
Mistake Analysis: AI identifies common errors and provides targeted feedback
Adaptive Learning Path: Personalized curriculum based on student performance
3. User Management System
Student Dashboard: Progress tracking, performance analytics, study streaks
Teacher Portal: Class management, assignment creation, progress monitoring
Parent Access: Child's progress reports and learning insights
Admin Panel: User management, content moderation, system analytics
4. Interactive Features
Real-time Math Input: LaTeX support for complex mathematical expressions
Visual Problem Solving: Graph plotting, geometric shape manipulation
Voice-to-Text Math: Speak problems aloud for AI processing
Collaborative Learning: Study groups and peer problem-solving sessions
Technical Architecture
Frontend (React.js)
src/
├── components/
│ ├── common/
│ │ ├── Header.jsx
│ │ ├── Sidebar.jsx
│ │ └── Footer.jsx
│ ├── auth/
│ │ ├── Login.jsx
│ │ ├── Register.jsx
│ │ └── ForgotPassword.jsx
│ ├── dashboard/
│ │ ├── StudentDashboard.jsx
│ │ ├── TeacherDashboard.jsx
│ │ └── Analytics.jsx
│ ├── learning/
│ │ ├── TopicBrowser.jsx
│ │ ├── Tutorial.jsx
│ │ ├── ProblemSolver.jsx
│ │ └── QuizInterface.jsx
│ └── math/
│ ├── MathInput.jsx
│ ├── StepByStep.jsx
│ └── FormulaDisplay.jsx
├── pages/
├── services/
│ ├── api.js
│ ├── openai.js
│ └── auth.js
├── utils/
└── styles/
Backend (Node.js + Express)
server/
├── controllers/
│ ├── authController.js
│ ├── userController.js
│ ├── mathController.js
│ ├── quizController.js
│ └── openaiController.js
├── models/
│ ├── User.js
│ ├── Topic.js
│ ├── Problem.js
│ ├── Solution.js
│ └── Progress.js
├── routes/
│ ├── auth.js
│ ├── users.js
│ ├── math.js
│ └── openai.js
├── middleware/
│ ├── auth.js
│ ├── validation.js
│ └── rateLimiting.js
├── services/
│ ├── openaiService.js
│ ├── mathProcessor.js
│ └── pdfGenerator.js
└── utils/
Database Schema (MongoDB)
Users Collection
{
_id: ObjectId,
email: String,
password: String (hashed),
role: String, // 'student', 'teacher', 'admin'
profile: {
firstName: String,
lastName: String,
grade: String,
subjects: [String],
preferences: Object
},
subscription: {
plan: String,
status: String,
expiresAt: Date
},
createdAt: Date,
updatedAt: Date
}
Topics Collection
{
_id: ObjectId,
title: String,
category: String, // 'algebra', 'geometry', 'calculus', etc.
level: String, // 'beginner', 'intermediate', 'advanced'
description: String,
formulas: [String],
examples: [Object],
prerequisites: [ObjectId],
createdAt: Date
}
Problems Collection
{
_id: ObjectId,
question: String,
topicId: ObjectId,
difficulty: Number, // 1-5 scale
solution: {
steps: [String],
finalAnswer: String,
explanation: String
},
tags: [String],
createdBy: ObjectId,
createdAt: Date
}
OpenAI Integration Strategy
1. Problem Solving Workflow
// Example OpenAI prompt structure
const systemPrompt = `
You are a mathematics tutor. When given a math problem:
1. Identify the topic and required concepts
2. Break down the solution into clear, logical steps
3. Explain the reasoning behind each step
4. Provide the final answer
5. Suggest similar practice problems
Format your response as JSON with:
- steps: array of step objects with description and calculation
- explanation: overall problem-solving approach
- answer: final numerical or algebraic result
- relatedTopics: array of related mathematical concepts
`;
const solveWithAI = async (problem, context) => {
const response = await openai.chat.completions.create({
model: "gpt-4",
messages: [
{ role: "system", content: systemPrompt },
{ role: "user", content: `Problem: ${problem}\nContext: ${context}` }
],
temperature: 0.3,
max_tokens: 1500
});
return JSON.parse(response.choices[0].message.content);
};
2. Content Generation Features
Dynamic Quiz Creation: AI generates questions based on topic and difficulty
Hint System: Progressive hints that guide without giving away answers
Error Analysis: AI analyzes incorrect answers and provides targeted explanations
Concept Reinforcement: Generates additional examples when students struggle
User Experience Flow
Student Journey
Registration & Onboarding
Account creation with grade/level selection
Diagnostic assessment to determine starting point
Personalized learning path generation
Learning Phase
Browse topics or follow recommended path
Read tutorials with interactive elements
Practice with guided examples
Take understanding quizzes
Problem Solving
Input custom problems (typed, voice, or photo)
Receive AI-generated step-by-step solutions
Ask follow-up questions for clarification
Generate similar problems for practice
Progress Tracking
Visual progress indicators
Achievement badges and milestones
Weekly/monthly progress reports
Areas for improvement recommendations
Teacher Features
Classroom Management
Create and manage multiple classes
Assign topics and problem sets
Monitor student progress in real-time
Generate performance reports
Content Creation
Upload custom problems and solutions
Create topic-specific quizzes
Set homework assignments with AI assistance
Develop lesson plans with integrated resources
Monetization Strategy
Pricing Tiers
Free Tier
5 AI problem solutions per month
Access to basic topics (arithmetic, basic algebra)
Limited practice problems
Basic progress tracking
Student Plan ($9.99/month)
Unlimited AI problem solving
Access to all topics up to high school level
Personalized learning paths
Study reminders and goal setting
Mobile app access
Teacher Plan ($19.99/month)
All student features
Classroom management tools
Assignment creation and grading
Student progress analytics
Bulk problem generation
School License ($299/month)
Up to 50 teacher accounts
1000 student accounts
Advanced analytics dashboard
Custom branding options
Priority support and training
Technical Implementation Details
Security & Authentication
JWT-based authentication with refresh tokens
OAuth integration (Google, Microsoft)
Role-based access control (RBAC)
Input sanitization and validation
Rate limiting for API calls
Performance Optimization
Redis caching for frequently accessed content
CDN integration for static assets
Database indexing for search optimization
Lazy loading for large content sections
API response compression
Mobile Responsiveness
Progressive Web App (PWA) capabilities
Touch-optimized math input interfaces
Offline mode for downloaded content
Push notifications for study reminders
Development Phases
Phase 1 (Months 1-3): MVP Development
User authentication and basic profiles
Core topic structure and content management
Basic OpenAI integration for problem solving
Simple quiz functionality
Responsive web interface
Phase 2 (Months 4-6): Enhanced Features
Advanced math input (LaTeX support)
Step-by-step solution visualization
Progress tracking and analytics
Teacher dashboard and class management
Payment processing integration
Phase 3 (Months 7-9): Advanced AI Features
Adaptive learning algorithms
Advanced mistake analysis
Voice-to-text problem input
Collaborative learning features
Mobile app development
Phase 4 (Months 10-12): Scaling & Optimization
Advanced analytics and reporting
API for third-party integrations
Multi-language support
Enterprise features
Performance optimization
Technology Stack Details
Frontend Technologies
React 18: Component-based UI development
TypeScript: Type safety and better development experience
Material-UI/Chakra UI: Pre-built accessible components
MathJax/KaTeX: Mathematical notation rendering
React Query: Server state management
Framer Motion: Smooth animations and transitions
Backend Technologies
Node.js 18+: Runtime environment
Express.js: Web application framework
TypeScript: Type-safe backend development
MongoDB: Document database for flexible data storage
Mongoose: ODM for MongoDB
Redis: Caching and session storage
Socket.io: Real-time communication
Third-Party Services
OpenAI GPT-4: AI problem solving and content generation
Stripe: Payment processing
SendGrid: Email services
Cloudinary: Image and file storage
AWS/Vercel: Hosting and deployment
MongoDB Atlas: Managed database service
Testing Strategy
Unit Testing
Jest for backend API testing
React Testing Library for component testing
Cypress for end-to-end testing
Test coverage minimum of 80%
Quality Assurance
Manual testing for UI/UX
Mathematical accuracy verification
Performance testing under load
Security vulnerability scanning
Launch Strategy
Pre-Launch (3 months)
Beta testing with selected teachers and students
Content creation and curation
Marketing website development
Educational partnerships establishment
Launch Phase (1 month)
Soft launch to limited audience
Gather user feedback and iterate
Marketing campaign initiation
Influencer partnerships in education sector
Post-Launch (Ongoing)
Regular feature updates based on user feedback
Content expansion and curriculum alignment
Partnership development with schools
Community building and user engagement
Success Metrics
User Engagement
Daily/Monthly Active Users (DAU/MAU)
Session duration and frequency
Problem completion rates
User retention rates
Educational Impact
Student performance improvement
Teacher satisfaction scores
Curriculum coverage metrics
Learning outcome achievements
Business Metrics
Monthly Recurring Revenue (MRR)
Customer Acquisition Cost (CAC)
Lifetime Value (LTV)
Churn rate by user segment
Risk Assessment & Mitigation
Technical Risks
OpenAI API limitations: Implement fallback mechanisms and content caching
Scalability issues: Use cloud-native architecture and monitoring
Data security: Implement comprehensive security measures and compliance
Business Risks
Competition: Focus on unique AI-powered features and user experience
Market adoption: Partner with educational institutions for validation
Regulatory changes: Stay updated with educational technology regulations
Conclusion
MathGenius Pro represents a comprehensive solution for modern mathematics education, combining traditional pedagogical approaches with cutting-edge AI technology. The platform addresses the core need for personalized, interactive learning while providing educators with powerful tools to enhance their teaching effectiveness.
The project's success will depend on seamless integration of OpenAI capabilities, intuitive user experience design, and strong educational partnerships. With proper execution, this platform has the potential to significantly impact mathematics education globally.
Next Steps for Implementation
Technical Setup: Initialize MERN stack development environment
OpenAI Integration: Set up API access and test basic problem-solving workflows
Database Design: Implement MongoDB schemas and data relationships
UI/UX Design: Create wireframes and design system
MVP Development: Focus on core features for initial user testing
User Testing: Engage with target users for feedback and iteration
This comprehensive specification provides the foundation for building a robust, scalable, and educationally effective mathematics learning platform powered by AI technology.
Get a First Look at MathGeniusAI
📣 Codersarts Value Add:
✍️ AI Prompt Engineering & Fine-Tuning
🔧 Full-stack Development (Frontend + Backend)
🎓 Education UX Optimization
🔐 Secure Hosting & Scalable Architecture
🧪 MVP Demo Setup for Investors or Pilot Use
At Codersarts, we can build your vision of a math tutorial and quiz platform powered by OpenAI from scratch. We’ll handle the technical complexity of MERN + AI, so you can focus on content and teaching.Let us take this forward as a full SaaS platform or MVP pilot version based on your budget and target audience. Want to hop on a quick call to discuss how we can bring this to life?
Reach us directly:
📧 Email: contact@codersarts.com
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