DIA

This project was generated with Angular CLI version 16.0.2.

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The application will automatically reload if you change any of the source files.

Code scaffolding

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Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

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Further help

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Web Scraping and Gender Detection

This Python script performs web scraping on a given web page, extracts the text content, and detects gender-biased sentences using a list of gender-biased words. It also extracts alt texts from images on the web page and performs gender detection on the images using a pre-trained deep learning model.

Dependencies

• Python 3.x
• requests
• beautifulsoup4
• pillow
• pytesseract
• tesseract
• pandas
• numpy
• cv2
• imghdr
• deepface

Usage

1. Install the required dependencies listed above.
2. Download the gender_biased_words.xlsx file and place it in the same directory as the script.
3. Run the script using the command python web_scraping_gender_detection.py.
4. Enter the URL of the web page when prompted.
5. The script will perform web scraping, extract text content, detect gender-biased sentences, and provide the results.

Note: The script assumes the presence of the gender_biased_words.xlsx file in the same directory. Make sure to download and place it in the correct location.

Examples

Example 1:

Enter the URL of the webpage: https://www.example.com
Gender-biased sentences found in the text content:
1. The man was the CEO of the company.
2. She is a nurse.

Gender detection results for images:
Image URL: https://www.example.com/image1.jpg
Gender: Male

Image URL: https://www.example.com/image2.jpg
Gender: Female

Example 2:

Enter the URL of the webpage: https://www.example.com/blog
No gender-biased sentences found in the text content.

Gender detection results for images:
Image URL: https://www.example.com/image3.jpg
Gender: Male -0 ,Female -3
Image is Gender-biased

Image URL: https://www.example.com/image4.jpg
Gender: Male -5 , Female-0
Image is Gender-biased

Note: The gender detection results for images are based on a pre-trained deep learning model and may not be accurate in all cases.

License

This project is licensed under the MIT License.