Scraping & Classification of Popular Mosques around the World
This project is about scraping and classifying images of popular mosques around the world.
Key Highlights:
Scraping and downloading images from different websites using Selenium and BeautifulSoup.
Data Exploration to gain insights into its structure and distribution.
Data Preprocessing by applying data augmentation techniques to enhance its diversity and balanced the class distributions.
Model Training using the MobileNetV2 pre-trained model on our dataset, achieving great performance.
Simple Deployment by designing GUI using Tkinter and predicting with the saved model.
📓 Kaggle Notebook: https://www.kaggle.com/code/abdelrahm...
📂 GitHub Repo: https://github.com/Abdelrahman47-code...
💼 LinkedIn Post: https://www.linkedin.com/posts/abdelr...
Don't forget to subscribe to my channel 🔔
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🔗 Connect with me:
🌐 Website: https://sites.google.com/view/abdelra...
💼 LinkedIn: / abdelrahmaneldaba
🐙 GitHub: https://github.com/Abdelrahman47-code
📊 Kaggle: https://www.kaggle.com/abdelrahmanahm...
📘 Facebook: https://www.facebook.com/profile.php?...
#Mosques #DataScience #WebScraping #Selenium hashtag#BeautifulSoup #ArtificialIntelligence #DeepLearning #CulturalHeritage #TechForGood