Resume Screening with AI

This project is a Streamlit-based web application that uses NLP and Machine Learning to predict a suitable job role based on resume text input.

Features

• Takes resume text input
• Uses NLP and TF-IDF Vectorization
• Predicts the most suitable job role (e.g., HR, Data Scientist)
• Built using Python, Streamlit, and Scikit-learn

Technologies Used

• Python
• Streamlit
• Pandas
• NumPy
• Seaborn & Matplotlib (for data visualization in Jupyter)
• NLTK (for NLP preprocessing)
• Scikit-learn (for model training and TF-IDF vectorizer)

Files Included

• ai_project.ipynb – Jupyter Notebook with full code and analysis
• app.py – Streamlit web app file
• resume_classifier_model.pkl – Trained classification model
• tf-idf-vectorizer.pkl – TF-IDF vectorizer file
• Updated_Resume_Dataset.csv – Resume dataset used for training
• requirements.txt – List of required Python libraries
• README.md – Project description and instructions

How to Run This Project

1. Install the required libraries:

2. Run the Streamlit app:

3. Paste your resume text and get job role predictions!

Author

Anika Attri