Bird Identification Quiz + Webscraping

This is a python web-scraper for Internshala ,a website for finding Internships. It is made using BeautifulSoup4 to assist in getting info regarding all the ongoing internships in any field with several filters and easy to use UI.

Mutual Fund Reconciliation Utility

This project implements an ELT (Extract, Load, Transform) data pipeline using Azure services and Airflow for orchestration.

A simple webscrapper project for Python for learning purposes.

Web Scarping using BeautifulSoup4

The current epidemic of coronavirus disease (COVID-19) has become a global crisis due to its rapid and widespread contamination worldwide. A good understanding of disease dynamics would significantly improve the control and prevention of COVID19. The unique features of this pandemic have limited the applications of all existing models We used, f…

A simple project with web scraping and queus with RabbitMQ

Automatic and intuitive tool to search and download anime from different sites

Streamlit Applications

Web scrap data and load into SqLite Database

Um scraper que utiliza Playwright para extrair e exportar suas avaliações de filmes e séries do Rotten Tomatoes. Ideal para quem deseja fazer backup ou analisar seus ratings fora da plataforma. 🍅📊

This is a simple Python program that allows the user to search for video card models on the Newegg website and retrieve the prices and links for the products and store the results to an SQL database.

💎 Web Scrapping in python using `requests` and `bs4`.

Python Script to download subtitle from yifi subtitles

This project webscrapes the data of Yahoo Finance listed world indexes and their components for the past five years, to later assess how they correlate to each other and through time in a visually focused manner.

This project creates a Spotify playlist of the year the user provides. Enjoy going back in time listening to the top music of a time of your choosing!

End-to-end Machine Learning project for real estate

ZAIBTEN is a cutting-edge customer reviews analysis software powered by web scraping, Natural Language Processing (NLP), and machine learning. It is designed to scrape, analyze, and visualize customer feedback from major e-commerce and review platforms such as Amazon, eBay, and Yelp. With ZAIBTEN, you can automatically extract real-time products.

Project begins with webscrapping Yelp reviews and rating with 'BeautifulSoup' in Python, followed by Natural Language Processing (text cleaning, removing stopwords, tokenization and lemmatization) using 'NLTK'. RoBERTa from 'HuggingFace' has been fine-tuned for text classification with early stopping and regularization using Pytorch.