Web scraper for AI/ML training
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Updated
Aug 4, 2023 - Python
Web scraper for AI/ML training
A twitter bot project
A simple web scraper base that combines BeautifulSoup and Selenium to scrape dynamic websites.
The provided Python code is a web application built using the Flask framework, designed to scrape data from YouTube based on a specified company name. This application aims to automate the process of collecting information about videos associated with a particular company on YouTube and present the data to users in a downloadable CSV file.
This project carefully studies the customer reviews of a airline company, around 10,000+ reviews are collected through webscrapping and and by sentiment analysis captured the expierence of the customers. And based on that designed a Machine learning algorithm which is a random forest classifier to predict customers who are likely to book seats.
Convert a given URL into PDF
A lightning-fast CLI tool to create result extraction projects using Bun + TypeScript
Web Scraping Python & Beautiful Soup
Scraps of faculty data with email, institution and location from College Dunia website and returns an excel sheet
Web scraping a la página de Cúspide Libros para obtener el listado de los 100 libros más vendidos de la semana.
This project gathers data from data science interviews, storing it in a ChromaDB using vector embeddings. Leveraging a Large Language Model (LLM), it functions as a Retrieval-Augmented Generation (RAG) system to answer questions based on this interview data.
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