RESUME-SKILL-MATCHER

◦ Developed with the software and tools below.

📖 Table of Contents

📖 Table of Contents
📍 Overview
📂 repository Structure
🛣 Roadmap
🤝 Contributing
👏 Acknowledgments

📍 Overview

The primary goal of this project is to develop a comprehensive resume classification system that leverages both traditional machine learning (ML) techniques and deep learning (DL) models. The project is divided into distinct phases, including data pre-processing, data analysis, and a comparative study of Bag of Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), and Word2Vec for multi-class classification. Additionally, the project aims to design, implement, and train a deep learning model for multi-class classification of resumes based on skill keywords.

📂 Repository Structure

└── Resume-Skill-Matcher/
    ├── Preprocessing.ipynb
    ├── Skill_prediction_BERT_Multiclass_Multilabel.ipynb
    └── Ml_models.ipynb

🛣 Project Roadmap

`ℹ️ Pre-process dataset

`ℹ️ Analyse Data

`ℹ️ Do a comparative Analysis of BoW, TF-IDF, Word2Bec using different ML models

`ℹ️ Create and train DL model for Multiclass Classification

🤝 Contributing

Contributions are welcome! Here are several ways you can contribute:

Submit Pull Requests: Review open PRs, and submit your own PRs.
Join the Discussions: Share your insights, provide feedback, or ask questions.
Report Issues: Submit bugs found or log feature requests for RAJAT-DHANUKA.

Contributing Guidelines

Click to expand

Fork the Repository: Start by forking the project repository to your GitHub account.
Clone Locally: Clone the forked repository to your local machine using a Git client.
```
git clone <your-forked-repo-url>
```
Create a New Branch: Always work on a new branch, giving it a descriptive name.
```
git checkout -b new-feature-x
```
Make Your Changes: Develop and test your changes locally.
Commit Your Changes: Commit with a clear and concise message describing your updates.
```
git commit -m 'Implemented new feature x.'
```
Push to GitHub: Push the changes to your forked repository.
```
git push origin new-feature-x
```
Submit a Pull Request: Create a PR against the original project repository. Clearly describe the changes and their motivations.

Once your PR is reviewed and approved, it will be merged into the main branch.

👏 Acknowledgments

Dataset used - https://github.com/florex/resume_corpus

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