Resume and job matching system

An AI-powered Resume Screening System that matches resumes to job descriptions using semantic NLP embeddings + hybrid skill based scoring, with an interactive dashboard.

How It Works

Text Processing

• Lemmatization
• Stopword removal
• Noise cleaning (spaCy)

Semantic Embeddings

Resumes and job descriptions are converted into dense vector embeddings using:

all-MiniLM-L6-v2 (Sentence Transformers)

Hybrid Scoring

Final score combines:

Final Score =
0.7 × Semantic Similarity (cosine between embeddings) + 0.3 × Skill Coverage Score (% of required job skills found in resume)

Installation

Clone Repository

git clone <your-repo-link>
cd resume_matcher

Create Virtual Environment

python3 -m venv venv
source venv/bin/activate

Install Dependencies

pip install -r requirements.txt
python -m spacy download en_core_web_sm

Run Application

streamlit run app.py

Open in browser: http://localhost:8501

NOTE

This system is designed as a decision support tool, not an autonomous hiring authority. Human oversight is required to ensure fairness and reduce bias.