🤖 AI-Powered ATS Resume Analyzer

Simulate your ATS impact. Professional-grade resume analysis powered by Llama 3 on Groq. Get real feedback before you apply.

🌟 Key Features

• 🚀 Instant Analysis: High-speed resume processing using Groq's LPUs.
• 📄 PDF Extraction: Robust text extraction from PDF resumes.
• 🎯 Smart Matching: Analysis tailored to specific companies, industries, and job titles.
• 📊 ATS Scoring: Get a simulated ATS score based on keyword matching and professional standards.
• ✨ Actionable Feedback: Detailed suggestions for improving content and formatting.
• 🎨 Premium UI: Modern, responsive dashboard with smooth animations via Framer Motion.

🛠️ Tech Stack

• Framework: Next.js 15+ (App Router)
• AI Engine: Groq SDK (Llama 3 70B/8B)
• Styling: Tailwind CSS
• Animations: Framer Motion
• Icons: Lucide React
• PDF Parsing: pdf-parse

🚦 Getting Started

Prerequisites

• Node.js 18.x or later
• A Groq API Key (Get one at console.groq.com)

Installation

1. Clone the repository:

   git clone https://github.com/haekalsutrisna/AIPowered-ATS-ResumeAnalyzer.git
   cd ats-machine

2. Install dependencies:

   npm install

3. Set up environment variables: Create a .env.local file in the root directory:

   GROQ_API_KEY=your_api_key_here
   GROQ_MODEL=llama3-8b-8192 # or llama3-70b-8192

4. Run the development server:

   npm run dev

Open http://localhost:3000 with your browser to see the result.

📂 Project Structure

ats-machine/
├── public/          # Static assets
├── src/
│   ├── app/         # Next.js App Router (Pages & APIs)
│   ├── components/  # React Components (UI, Forms, Dashboard)
│   ├── lib/          # Utilities (AI logic, PDF parser, Env validation)
│   └── styles/       # Global styles
├── .env.local       # Environment variables (local-only)
├── package.json
└── tsconfig.json

🤝 Contributing

Contributions are welcome! If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

Distributed under the MIT License. See LICENSE for more information (if applicable).

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Created with ❤️ by haekalsutrisna