🤖 HireSense – AI-Powered Resume Classifier

An intelligent resume classification system that predicts the best-fit job role from a given resume PDF using NLP + Machine Learning.

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Live Demo

Try it here:
🔗 https://hiresense-peqy6gcp2srkufdpmh7mbp.streamlit.app

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Preview

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Features

• Upload a resume PDF
• Extracts clean text using PyMuPDF
• Predicts job role using Logistic Regression
• Supports job categories like:
  • Data Scientist
  • Backend Developer
  • Frontend Developer
  • Full Stack Engineer
  • DevOps Engineer
• Clean interactive UI powered by Streamlit

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🛠 Tech Stack

Area	Tools & Libraries
Language	Python
ML/NLP	scikit-learn, pandas, joblib, TfidfVectorizer
PDF Parsing	PyMuPDF (fitz)
Web UI	Streamlit

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📁 Folder Structure

HireSense/
├── app.py                # Streamlit App
├── requirements.txt      # Dependencies
├── model/                # Trained ML model + vectorizer
├── preprocess/           # Data processing scripts
├── data/                 # labels.csv, resume texts
├── .gitignore
└── README.md

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## How to Run Locally

### 1. Install dependencies

```bash
pip install -r requirements.txt

2. Run the Streamlit app

streamlit run app.py

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How to Train Your Own Model

If you want to retrain the model using the Kaggle dataset:

python preprocess/convert_kaggle_dataset.py
python model/train_model.py

• The first script converts the CSV into labeled text files.
• The second script trains a logistic regression model and saves it as .pkl.