A curated list of previous asked Interview Question at Big Companies and Startups 🤲 🏆

Full Stack Flipkart with Admin Dashboard

Interview coding questions and experiences for several companies merged into one repository

🥦 It's an eCommerce app inspired by Amazon, big Basket, Grofers, grocery app, a sample Android application 📱 built to demonstrate the use of Modern Android development tools - (Kotlin, Coroutines, Flow, Dagger 2/Hilt, Architecture Components, MVVM, Room, Retrofit, Gson, Material Components).

flipkart-clone using react js express js mongo db razorpay complete e-commerce website using MERN stack client server MVC architecture redux redux-thunk ecomerce project live example

Telegram bot including API, which can track product prices & ping you on any changes.

Compares price of the product entered by the user from e-commerce sites Amazon and Flipkart 💰 📊

API to scrape search result and product details from Flipkart

Scraping details of products from ecommerce websites using python

A PHP based website that provides price comparison over various online shopping website such as Flipkart , Amazon and Snapdeal to provide best price for the same product using web scraping (PHP simple DOM) .

Developed various python scripts using Scrapy Framework for scraping various E-Commerce Sites like AliExpress, Flipkart, Amazon and Ebay along with the DataBase Connectivity [MYSQLWorkbench].

ShoppingCart - An E-commerce Web App

A telegram bot which sends you a email and message on telegram if your registered product meets any set threshold price drop.

Full Stack Flipkart Clone Using LAMP Stack

This is a Flipkart clone eCommerce project developed using the MERN (MongoDB, Express.js, React.js, Node.js) stack.

Scrape products from various Indian e-commerce web sites and export it as csv.

A telegram bot that scrape Flipkart, Amazon url and keep track of price changes, also alerts the user when there is a price change

Fetch Flipkart product details including name, price, MRP and Stock details in general as well as specific to a pincode

This project focuses on sentiment analysis of customer reviews on the Flipkart e-commerce platform. Leveraging natural language processing (NLP) and machine learning algorithms, we aim to extract valuable insights into user sentiments, providing a comprehensive understanding of their experiences and preferences.