AI Resume Analyzer & Career Advisor

An AI-powered Resume Analyzer built using Streamlit, LangChain, Groq, FAISS, Sentence Transformers, and Adzuna Job Market API.

The application helps users:

• Extract skills from resumes
• Compare resumes with job descriptions
• Calculate ATS-style match scores
• Identify missing skills
• Ask questions about resumes using RAG
• Predict suitable career paths
• Analyze live job market demand
• Discover skill gaps based on real-world job postings

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Features

Resume Parsing

• Upload PDF resumes
• Upload DOCX resumes
• Automatic text extraction

AI Skill Extraction

• Uses Groq LLM
• Extracts technical and soft skills
• Returns structured skill lists

ATS Job Matching

• Compare resume against any job description
• Skill match scoring
• Semantic similarity scoring
• Final weighted match score
• Missing skill detection
• AI-generated match explanation

Resume Q&A (RAG)

• FAISS Vector Database
• HuggingFace Embeddings
• Retrieval Augmented Generation (RAG)

Ask questions like:

• What projects has the candidate built?
• What programming languages does the candidate know?
• Does the candidate have machine learning experience?

Career Path Predictor

Analyze:

• Skills
• Projects
• Experience
• Tools
• Education

Predict:

• Top Career Fields
• Best Target Role
• Skill Gaps
• Learning Roadmap
• Next Project Suggestions

Live Job Market Analysis

Powered by Adzuna API.

Features:

• Fetches current job listings
• Extracts market-demanded skills
• Compares resume skills against market skills
• Calculates Market Fit Score
• Shows missing market skills
• Recommends skills to learn next

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Tech Stack

Frontend

• Streamlit

LLM & AI

• Groq
• LangChain
• LangChain Core

Embeddings

• Sentence Transformers
• all-MiniLM-L6-v2

Vector Database

• FAISS

Resume Processing

• PyPDF
• Python-Docx

Job Market Analysis

• Adzuna API

Machine Learning

• Scikit-Learn

Deployment

• Streamlit Cloud
• GitHub Actions CI/CD

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Environment Variables

Create a .env file:

GROQ_API_KEY=your_groq_api_key

ADZUNA_APP_ID=your_adzuna_app_id

ADZUNA_APP_KEY=your_adzuna_app_key

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Run Locally

Install dependencies:

pip install -r requirements.txt

Run application:

streamlit run app.py

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CI/CD

GitHub Actions automatically:

• Installs dependencies
• Checks syntax
• Validates project files

Runs on:

• Push to main
• Pull Requests

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Future Improvements

• JSON-based career prediction output
• Resume improvement recommendations
• Cover letter generation
• Multi-resume comparison
• Salary trend analysis
• Personalized learning roadmap
• Cloud deployment recommendations

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👨‍💻 Author

Shrayan Sarkar

sarkarshrayan2@gmail.com

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Built with using Streamlit, LangChain, Groq, FAISS, and Adzuna API.