Pattern Prep is a pattern-based Data Structures & Algorithms (DSA) learning and coding interview preparation platform designed to help students understand how to recognize and solve problems instead of memorizing individual solutions.
Instead of randomly solving hundreds of coding problems, Pattern Prep organizes preparation around reusable problem-solving patterns and connects learning, recognition, practice, interview preparation, and progress tracking into one workflow.
Traditional DSA preparation often looks like:
Problem → Solution → Memorize → Next Problem
This can make it difficult to recognize the underlying technique when a new problem is presented.
Pattern Prep follows a different approach:
Pattern
↓
Recognition
↓
Understanding
↓
Pattern Trainer
↓
Practice
↓
Interview Preparation
↓
Progress Analysis
The objective is to build problem-solving intuition, not solution memorization.
Learn DSA through reusable problem-solving patterns.
Each pattern provides:
- Pattern overview
- Recognition signals
- When to use the pattern
- Step-by-step algorithm
- Dry run
- Time complexity
- Space complexity
- Common mistakes
- Reusable code templates
- Practice questions
- Interview questions
- Company relevance
- Learning resources
Practice identifying the correct pattern before writing code.
The trainer helps users understand:
"Which technique should I use for this problem?"
It provides:
- Pattern-based scenarios
- Multiple-choice options
- Instant feedback
- Explanations
- Score tracking
- Progress tracking
Practice curated coding interview questions organized by pattern.
Users can:
- Search questions
- Filter by pattern
- Filter by difficulty
- Filter by company
- Mark questions as solved
- Bookmark questions
- Open external coding problems
- Track completion progress
Prepare for company-specific interviews.
The Interview Hub organizes preparation around companies such as:
- Amazon
- Microsoft
- Meta
- Adobe
- Uber
- Atlassian
- Goldman Sachs
- Flipkart
- Walmart Global Tech
Company preparation includes:
- Interview rounds
- Preparation roadmap
- Frequently asked questions
- Interview experiences
- Preparation tips
- Useful resources
Track preparation progress through:
- Questions solved
- Bookmarked questions
- Pattern completion
- Strongest patterns
- Weakest patterns
- Difficulty distribution
- Overall completion
- Learning progress
The purpose of analytics is to identify what to revise next, rather than simply displaying numbers.
The project is designed to support an AI mentor interface for:
- DSA concept explanations
- Pattern explanations
- Coding hints
- Debugging assistance
- Practice question generation
- Personalized recommendations
- Interview preparation
- Study planning
The current frontend can use local/mock responses until the AI backend is connected.
- HTML5
- CSS3
- JavaScript (ES6+)
- CSS Grid
- Flexbox
- Responsive Design
- LocalStorage
- Git
- GitHub
- VS Code
The project is designed to evolve into a full-stack application using:
- Node.js
- Express.js
- REST APIs
- MongoDB
- Mongoose
- JWT Authentication
- bcrypt
The backend will eventually handle:
- User accounts
- Authentication
- User progress
- Question data
- Pattern data
- Interview data
- Personalized recommendations
Pattern Prep is designed primarily for:
- College students preparing for placements
- DSA beginners
- Internship applicants
- Software engineering interview candidates
- Students preparing for coding rounds
Pattern Prep is built around one principle:
Don't just memorize solutions. Learn to recognize the pattern behind the problem.
A student who understands the underlying pattern can transfer that knowledge to many different problems.
- Home
- Assessment
- Learning
- Pattern Trainer
- Practice
- Interview Hub
- Analytics
- Dashboard
- AI Mentor interface
- User authentication
- REST API
- MongoDB integration
- Persistent user profiles
- Server-side progress tracking
- AI API integration
These backend features are part of the planned full-stack version.
Planned improvements include:
- Full-stack authentication
- Persistent user profiles
- Personalized learning paths
- AI-powered hints
- AI mock interviews
- Coding playground
- Spaced repetition
- Daily revision plans
- Advanced analytics
- Company-specific preparation plans
- Real-time coding evaluation
Nimisha Chawla
Pattern Prep is a project focused on improving the way students learn DSA and prepare for software engineering interviews.