DS_DV

Data Scraping and Visualization

FRONTEND - PYTHON BACKEND - UI PATH & EXCEL DATA

ABSTRACT

This project aims to develop a solution that facilitates the identification of the best products on online shopping websites based on their price, customer reviews, and ratings. By leveraging data analytics and visualization techniques, the system empowers users to make informed decisions when purchasing products from various online platforms. The key focus is to present the information in an easy-to-understand manner through chart representations. The user-friendly interface allows users to input their preferences, such as product category, price range, and desired ratings. The system then filters the vast product database to present tailored recommendations. The chart representations enable users to observe trends, identify outliers, and make well-informed choices based on their individual needs and budget constraints. Moreover, the project also evaluates and ranks online shopping websites based on the overall quality of their products and services. By considering factors like product availability, pricing, customer satisfaction, and shipping efficiency, users can gauge which websites stand out as preferable options compared to others. This project offers a valuable tool to assist online shoppers in finding the best products across various e-commerce platforms. The data-driven approach ensures transparency and enables users to make purchases with confidence, ultimately enhancing their online shopping experience.