🎯 AI Interview Prep

A premium, open-source interview preparation platform for aspiring AI/ML engineers — built with Astro, Tailwind CSS, and TypeScript.

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📖 About

AI Interview Prep is a comprehensive, free interview preparation website covering everything an AI/ML engineer needs to crack top-tier interviews — from Python fundamentals to LLM fine-tuning, from SQL queries to HR behavioral questions.

Built by Ashutosh Roy (B.Tech CSE AI, CSVTU Bhilai | IIT Delhi Research Intern) as a personal project to organize and share structured interview preparation material.

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✨ Features

• 700+ Interview Questions — Python, ML, Deep Learning, NLP, LLMs, RAG, SQL, HR
• Company-wise Preparation — Google, Amazon, Meta, OpenAI, NVIDIA, TCS, Infosys
• Quick Revision Cheatsheets — Python, ML Formulas, SQL, Flashcards
• Mock Interviews — Full simulations for AI/ML Engineer, Python Developer, Startup roles
• Most Asked Questions — Research-backed questions from real interviews
• 12-Week Roadmap — Structured preparation plan with daily schedules
• Dark / Light Mode — Seamless theme toggle with system preference support
• SEO Optimized — Sitemap, robots.txt, Open Graph, Schema.org markup
• Fully Responsive — Works on mobile, tablet, and desktop
• Fast — Static site, 95+ Lighthouse score

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🗂️ Content Coverage

Section	Topics	Questions
🐍 Python	Basics, OOP, Advanced, DSA, NumPy/Pandas, Output-based	200+
🤖 Machine Learning	Fundamentals, Algorithms, Evaluation, Feature Engineering	100+
🧠 Deep Learning	CNNs, RNNs, Transformers, Attention, Training	175+
💬 NLP & LLMs	BERT/GPT, Fine-tuning, RAG, Embeddings, Vector DBs	100+
👁️ Computer Vision	YOLO, OCR, Image Classification, OpenCV	40+
🗄️ SQL & Databases	Queries, Joins, Window Functions, NoSQL, Firebase	50+
💼 HR Interview	General, Project-specific, Situational, Behavioral	150+
🏢 Company-wise	FAANG, AI Companies, Indian IT patterns	10+ companies

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🛠️ Tech Stack

Technology	Purpose
Astro	Static site framework (zero-JS by default)
Tailwind CSS	Utility-first styling
TypeScript	Type safety
MDX	Markdown with components
@astrojs/sitemap	Auto-generated sitemap

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🚀 Getting Started

Prerequisites

• Node.js 18+
• npm or yarn

Installation

# Clone the repository
git clone https://github.com/ashutoshroy02/InterviewPrep.git
cd InterviewPrep

# Install dependencies
npm install

# Start dev server
npm run dev

Open http://localhost:4321 in your browser.

Build for Production

npm run build

Output goes to the ./dist/ folder — ready to deploy to Vercel, Netlify, or any static host.

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📁 Project Structure

interview-prep-site/
├── public/
│   ├── favicon.svg
│   └── robots.txt
├── src/
│   ├── components/
│   │   ├── Navbar.astro       # Sticky navbar with dark/light toggle
│   │   ├── Footer.astro       # Site footer with links
│   │   └── TopicCard.astro    # Reusable topic card component
│   ├── layouts/
│   │   └── BaseLayout.astro   # Base HTML layout with SEO meta tags
│   ├── pages/
│   │   ├── index.astro        # Homepage
│   │   ├── docs.astro         # Documentation index
│   │   ├── topics/            # Topic pages (Python, ML, SQL, HR...)
│   │   ├── cheatsheets/       # Quick revision pages
│   │   ├── about.astro
│   │   ├── contact.astro
│   │   ├── privacy.astro
│   │   ├── terms.astro
│   │   ├── disclaimer.astro
│   │   └── cookies.astro
│   └── styles/
│       └── global.css         # CSS variables for dark/light themes
├── astro.config.mjs
├── tailwind.config.mjs
└── tsconfig.json

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🎨 Design System

The site uses a CSS variable-based design system for seamless dark/light mode switching:

/* Dark mode (default) */
:root {
  --color-background: #09090b;
  --color-surface: #18181b;
  --color-primary: #2563eb;
  --color-text-primary: #fafafa;
}

/* Light mode */
:root.light {
  --color-background: #ffffff;
  --color-surface: #f4f4f5;
  --color-primary: #1d4ed8;
  --color-text-primary: #09090b;
}

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📄 Pages

Route	Description
/	Homepage with hero, stats, topic grid
/docs	Full documentation index
/topics	Browse all topics
/topics/python	Python questions hub
/topics/ml	Machine Learning hub
/topics/sql	SQL & Databases hub
/topics/hr	HR Interview questions
/topics/companies	Company-wise preparation
/cheatsheets	Quick revision cheatsheets
/about	About the project
/contact	Contact form
/privacy	Privacy Policy
/terms	Terms & Conditions
/disclaimer	Disclaimer
/cookies	Cookie Policy

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🔍 SEO

• Dynamic <title> and <meta description> per page
• Open Graph and Twitter Card tags
• JSON-LD structured data (Schema.org)
• Auto-generated XML sitemap via @astrojs/sitemap
• robots.txt
• Semantic HTML throughout
• Canonical URL support

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👤 Author

Ashutosh Roy

• B.Tech CSE (AI) — CSVTU Bhilai
• Research Intern — IIT Delhi (OCR & Document AI)
• Skills: Python, PyTorch, LLMs, RAG, YOLO, OpenCV, Flutter, Firebase

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📝 License

This project is open source under the MIT License.

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🤝 Contributing

Contributions, issues, and feature requests are welcome!

1. Fork the repository
2. Create your feature branch (git checkout -b feature/add-dsa-questions)
3. Commit your changes (git commit -m 'Add 20 DSA questions')
4. Push to the branch (git push origin feature/add-dsa-questions)
5. Open a Pull Request

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⭐ Support

If this project helped your interview prep, give it a ⭐ on GitHub — it means a lot!

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Built with ❤️ for aspiring AI engineers everywhere.