⚡ Intelligent Resume Analyzer (IRA)

AI-powered career platform — ATS scoring, resume rewriting, cover letters, interview prep, skill roadmaps, multi-job matching, and RAG chat. All in one place.

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🌐 Live App

👉 https://intelligent-resume-analyzer-hidev-fyqecasubzzh8uytf4n87k.streamlit.app/

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✨ Features

Feature	Description
📊 ATS Checker	Match score, keyword analysis, section-by-section scoring
✍️ Resume Rewriter	STAR-format bullets, quantified metrics, keyword injection
📝 Cover Letter Generator	Three tone styles — Professional, Confident, Creative
🎤 Interview Prep	Technical, behavioural & situational questions with STAR answers
🗺️ Skill Gap Roadmap	Personalised 90-day learning plan with free resources
🔀 Multi-Job Matcher	Compare up to 3 job descriptions, ranked by best fit
💬 RAG Chat	Ask anything — AI answers grounded in your own resume

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🛠️ Tech Stack

• LLM — Llama 3.3 70B via Groq (ultra-fast inference)
• Orchestration — LangChain 0.3.x (chains, retrievers, prompts)
• Vector Store — FAISS (local, in-memory RAG)
• Embeddings — sentence-transformers/all-MiniLM-L6-v2 via HuggingFace
• UI — Streamlit with custom CSS (Deep Indigo SaaS theme)
• Document Parsing — PyPDF + LangChain loaders

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🚀 Run Locally

1. Clone the repo

git clone https://github.com/your-username/intelligent-resume-analyzer.git
cd intelligent-resume-analyzer

2. Install dependencies

pip install -r requirements.txt

3. Add your Groq API key

Create a .env file in the root:

GROQ_API_KEY=your_groq_api_key_here

Get a free key at console.groq.com

4. Launch the app

streamlit run main.py

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📁 Project Structure

intelligent-resume-analyzer/
├── main.py            # Full app — UI + LLM + RAG logic
├── requirements.txt   # Python dependencies
├── packages.txt       # System packages (for Streamlit Cloud)
├── .env               # API keys (not committed)
└── .gitignore

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💡 Usage

1. Upload your resume (PDF or TXT) in the sidebar
2. The AI builds a RAG knowledge base from your document
3. Navigate the tabs and paste a job description in any feature
4. Hit the action button and get instant AI-powered results
5. Download any output as a .txt file

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🔐 Environment Variables

Variable	Required	Description
GROQ_API_KEY	✅ Yes	Your Groq API key for LLM access

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📦 Deployment

This app is deployed on Streamlit Community Cloud. To deploy your own fork:

1. Push your code to GitHub
2. Go to share.streamlit.io
3. Connect your repo and set main.py as the entry point
4. Add GROQ_API_KEY under Secrets

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🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first.

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📄 License

MIT License — feel free to use, modify, and distribute.

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Built with ❤️ using LangChain · Groq · FAISS · Streamlit