Interview Prep

A web application to help new grads (and anyone brushing up on coding interviews) quickly revise Data Structures and Algorithms (DSA) through randomized MCQs, instant feedback, and personal progress tracking.

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🚀 Features

• 🎲 Randomized MCQs
  Practice with dynamic, randomly generated DSA multiple-choice questions tailored to your selected difficulty level.

• ✅ Instant Feedback
  Choose an answer and immediately see whether you're correct, along with a concise explanation — learn by doing.

• 📚 Personalized History
  All your answered questions are saved to a personal history page so you can revisit, re-test, or review topics anytime.

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🛠️ Built With

• Backend: FastAPI, Grok
• Frontend: React + Vite
• Auth: Clerk
• AI-Powered Question Generation: OpenAI API

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🧪 Getting Started

1. Clone the repo

git clone https://github.com/your-username/dsa-revision-tool.git
cd dsa-revision-tool

2. Set up environment variables

Create two .env files in the root of the project and add your OpenAI API key and Clerk credentials.

1. Backend: OPENAI_API_KEY=your_openai_key, CLERK_SECRET_KEY=your_clerk_secret_key, CLERK_WEBHOOK_SECRET=your_clerk_webhook_secret

2. Frontend: CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key

3. Run the backend

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

4. Run the frontend

cd frontend
npm install
npm run dev

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🧠 Motivation

The current job market, particularly for recent graduates, presents a unique set of challenges. Beyond the demanding process of navigating countless job applications, the critical task of keeping Data Structures and Algorithms (DSA) concepts sharp often feels like a Herculean effort. This project was born out of that very struggle – a tool designed to ease the burden and empower others facing similar hurdles.

Demo

🤝 Contributiion

Pull requests are welcome! Feel free to open an issue first if you have suggestions or feedback.