https://github.com/r-mahesh45/resume-text-classification-and-data-visualization

🚀 Text Classification for Resumes: Conducted Exploratory Data Analysis (EDA) on a vast collection of resumes 📊. Organized the data using Bag of Words (BoW) and TF-IDF techniques 🧠. Built and evaluated multiple models, with Logistic Regression delivering standout performance 🎯. Created Word Clouds 🌥️ and Histograms 📉 to visualize document wor
https://github.com/r-mahesh45/resume-text-classification-and-data-visualization

data datacleaning extract-transform-load feature-extraction nlp nltk-tokenizer text-mining text-processing

Last synced: 8 months ago
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🚀 Text Classification for Resumes: Conducted Exploratory Data Analysis (EDA) on a vast collection of resumes 📊. Organized the data using Bag of Words (BoW) and TF-IDF techniques 🧠. Built and evaluated multiple models, with Logistic Regression delivering standout performance 🎯. Created Word Clouds 🌥️ and Histograms 📉 to visualize document wor

• Host: GitHub
• URL: https://github.com/r-mahesh45/resume-text-classification-and-data-visualization
• Owner: R-Mahesh45
• Created: 2024-06-15T06:21:03.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-03T21:53:27.000Z (10 months ago)
• Last Synced: 2024-12-03T22:29:30.148Z (10 months ago)
• Topics: data, datacleaning, extract-transform-load, feature-extraction, nlp, nltk-tokenizer, text-mining, text-processing
• Language: Jupyter Notebook
• Homepage:
• Size: 10.5 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
---

# 📄 **Resume Classification Application**  

### 🛠️ Developed By: **Mahesh Rathod**  

Welcome to the **Resume Classification Application**, an intelligent tool for analyzing resumes and predicting job profiles with skill extraction! 🚀  

---

## 🎯 **Features**

- 📂 **Upload resumes**: Accepts multiple file types (`.pdf` and `.docx`).

- 🧠 **Skill Extraction**: Automatically extracts relevant skills from resumes.

- 🔍 **Job Profile Prediction**: Uses machine learning models to classify resumes into job profiles.  

- 📊 **Interactive Interface**: Built with **Streamlit** for easy interaction.

---

## 🚀 **How It Works**

1. **Upload**: Drag and drop your resume(s) in `.pdf` or `.docx` format.

2. **Processing**: 

   - The application preprocesses the resume text.

   - Skills are extracted, and the text is classified using a trained ML model.

3. **Output**: 

   - Displays uploaded file details.

   - Shows extracted skills and the predicted job profile in a clean table format.

---

## 🛠️ **Libraries Used**

This application uses several powerful libraries for text processing and machine learning:

- **Text Processing**:

  - `nltk` 🪶

  - `spaCy` 📚

  - `docx2txt` 📄

  - `pdfplumber` 📜  

- **Data Handling**:

  - `pandas` 📊

  - `numpy` 🔢

- **Machine Learning**:

  - `sklearn` 🤖

  - `pickle` 📦

- **Visualization**:

  - `matplotlib` 📉  

## 📦 **Installation**

1. Clone the repository:  

   ```bash

   git clone 

   cd 

   ```

2. Install dependencies:  

   ```bash

   pip install -r requirements.txt

   ```

3. Run the application:  

   ```bash

   streamlit run app.py

   ```

---

## 🛡️ **Security Measures**

- Handles sensitive resume data securely.

- Ensures no data is stored locally after processing.

---

## 📝 **Future Enhancements**

- 🤝 Integrate support for more file formats.

- 🚀 Deploy the application online for global access.

- 📈 Improve classification accuracy with deep learning models.

- 🌐 Add multi-language resume processing.

---

## 📧 **Contact Us**

For any queries or contributions, feel free to reach out:  

**Email**: `maheshrathod2236@gmail.com`