✨ AI-Powered Interview Preparation Platform

Preparing for interviews can feel overwhelming — especially when you're unsure what to focus on.

This project solves that problem by combining AI + your profile + job requirements to generate a personalized interview strategy tailored just for you.

Instead of guessing what to study, this platform tells you exactly:

• what questions you might face
• where your weaknesses are
• how to prepare efficiently

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🚀 What This Project Does

This is a full-stack MERN application that:

👉 Analyzes your resume + job description + self-profile 👉 Uses AI to understand your strengths and gaps 👉 Generates a complete interview roadmap

You get:

• 🎯 Relevant technical questions
• 💬 Behavioral interview questions
• 📉 Skill gap analysis
• 📚 Step-by-step preparation plan

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🧠 Why I Built This

As a student preparing for technical interviews, I realized:

“There’s too much to study, but no clear direction.”

So I built this tool to:

• eliminate confusion
• focus on high-impact preparation
• simulate real interview expectations

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🛠️ Tech Stack

Frontend

• React (Vite)
• Context API
• SCSS

Backend

• Node.js & Express
• MongoDB (Mongoose)
• JWT Authentication
• Multer (file uploads)
• pdf-parse (resume analysis)

AI Integration

• Google Generative AI / OpenAI

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⚙️ How It Works

1. Enter a job description
2. Upload your resume (or write a self-description)
3. Click Generate Interview Strategy

Behind the scenes:

• Resume is parsed
• AI analyzes your profile vs job requirements
• A structured interview report is generated

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📂 Project Structure

Resume-Analyser/
│
├── Backend/
│   ├── controllers/
│   ├── models/
│   ├── routes/
│   ├── services/
│   └── middlewares/
│
├── Frontend/
│   ├── components/
│   ├── pages/
│   ├── hooks/
│   └── services/

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🔐 Environment Setup

Create a .env file inside the Backend folder:

MONGO_URI=your_mongodb_connection
JWT_SECRET=your_secret_key
GOOGLE_GENAI_API_KEY=your_api_key

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🚀 Running the Project Locally

1. Clone the repo

git clone https://github.com/your-username/interview-ai.git
cd interview-ai

2. Install dependencies

cd Backend
npm install

cd ../Frontend
npm install

3. Start servers

# Backend
cd Backend
npm run dev

# Frontend
cd Frontend
npm run dev

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🌐 Local URLs

• Frontend → http://localhost:5173
• Backend → http://localhost:3000

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💡 Key Highlights

• Real-world AI integration
• Resume parsing with PDF support
• Full authentication system (JWT)
• Clean UI with structured output
• End-to-end full-stack project

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📌 Future Improvements

• 🌍 Deployment (Vercel + Render)
• 📊 Dashboard analytics
• 🎤 Mock interview simulator
• 📱 Mobile responsiveness improvements

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👨‍💻 About Me

Hi, I’m Aditya Singh Tomar — a Computer Science student passionate about building real-world full-stack applications and solving meaningful problems.

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⭐ Support

If you found this project helpful or interesting, consider giving it a ⭐ It really helps and motivates me to build more!

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