{"id":18356072,"url":"https://github.com/pravincoder/skills-personality_insights","last_synced_at":"2025-08-21T19:07:01.540Z","repository":{"id":235176888,"uuid":"790213884","full_name":"pravincoder/Skills-Personality_Insights","owner":"pravincoder","description":"This is a complete web app for Resume and Personality prediction all in one app😁😁. 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The application presents questions to the user, collects their responses, and generates a personality chart based on their answers.\n\n## Features\n\n- Detailed Resume analysis .\n- Tips and Trick based on your resume.\n- User-friendly interface for answering personality assessment questions.\n- Data visualization using Chart.js to display personality traits.\n- Backend processing of user responses to generate personality insights.\n- Integration with two K-means clustering models stored in the `models` directory for personality analysis.\n\n## Files and Folders\n- **App.py**: Streamlit app for Resume analysis using pyresparser and other important modules.\n- **Flask_app.py**: Flask application file that defines routes and handles user interactions.\n- **Test.py**: Python script containing functions for generating personality charts based on user responses.\n- **questions.csv**: CSV file containing the questions for the personality assessment.\n- **css/**: Folder containing CSS files for styling the web interface.\n- **templates/**: Folder containing HTML templates for rendering the web pages.\n- **models/**: Folder containing two K-means clustering models used for personality analysis.\n\n## Installation and Setup\n\n1. Clone the repository:\n\n    ```\n    git clone https://github.com/pravincoder/personality_app.git\n    ```\n\n2. Download and install XAMPP for database and Click on 'Start' for Apache and MySql.\n\n3. Install dependencies:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n4. Run the Streamlit application:\n\n    ```bash\n    streamlit run app.py\n    ```\n    \n5.(Start a new Terminal '+') Run the Flask application:\n    \n    ```\n    python flask_app.py\n    ```\n    \n6. Access the streamlit application in your web browser at `http://localhost:8501`.\n\n## Sample Output Img\n\n![ScreenShot of Resume analysis 1](https://github.com/pravincoder/Skills-Personality_Insights/blob/main/output_img/ss1.PNG)\n\n![ScreenShot of Resume analysis 2](https://github.com/pravincoder/Skills-Personality_Insights/blob/main/output_img/ss2.PNG)\n\n![ScreenShot of personality form 1](https://github.com/pravincoder/Skills-Personality_Insights/blob/main/output_img/ss3.PNG)\n\n![ScreenShot of personality form 2](https://github.com/pravincoder/Skills-Personality_Insights/blob/main/output_img/ss4.PNG)\n\n## Usage\n\n1. Submit the Our Resume\n2. Take personality Test\n3. Answer the questions presented on the web interface.\n4. Submit your responses.\n5. View the generated personality chart based on your responses.\n\n## Contributing\n\nContributions are welcome! If you'd like to contribute to this project, please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch (`git checkout -b feature/new-feature`).\n3. Make your changes.\n4. Commit your changes (`git commit -am 'Add new feature'`).\n5. Push to the branch (`git push origin feature/new-feature`).\n6. Create a new Pull Request.\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n\n## Acknowledgments\n\n- This project was inspired by my friends in our Mini Project Mumbai university.\n- Thanks to the streamlit,sklearn, Flask and Chart.js communities for providing excellent resources and documentation.\n- Thanks to kaggle dataset [source](https://www.kaggle.com/datasets/tunguz/big-five-personality-test/data) .","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpravincoder%2Fskills-personality_insights","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpravincoder%2Fskills-personality_insights","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpravincoder%2Fskills-personality_insights/lists"}