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

A Swiggy UI Clone Flutter App.

Analyse your swiggy orders 🍔

In this project we will dive deep into UICompositional Layouts and alot of new concepts.

Food ordering app using MVVM architecture patterns, Architecture Lifecycle components and Room database.

🍔 Our Cool Swiggy like Intro Screen Android library

Zomato/Swiggy like increment decrement button library for android. Available as both composable as well as XML based library! Simple & easy to use. 📱 ⚡

Solo Construct week project executed in 7 days. Main Tech Stack used are React and for state management Redux and Local Storage is been used , for persisting the data Local Storage is used, All the Data used are manually created.

🍕 A restaurant finder web-app created using HTML, CSS & JavaScript. It uses an API to fetch data about restaurants in selected areas.

A clone of Swiggy Web App (Web UI)

Online Food Ordering App built using Html, CSS and Pure JS without any framework.

A bot to send notifications of swiggy coupons.

A clone of Swiggy Web App (Backend)

Welcome to Foodie, a robust food delivery platform developed with React.js, Tailwind CSS, and various other technologies. Foodie offers a seamless food ordering experience, with access to thousands of restaurants, real-time weather information, and precise geolocation features

Building Swiggy Offer Animation on Android

Entire project designed during Swiggy hackathon 2018

Map My Food is a MERN stack app that showcases nearby restaurants and enables the creation of new ones. Features include authentication, cart, search, support,orders, new restaurant creation, all seamlessly managed with global state management.

Swiggy Home Clone using Flutter

"MUNCH: A pioneering web app tailored for college students, MUNCH redefines campus dining. Seamlessly order delicious meals from your hostel, customize your preferences, and enjoy hassle-free transactions. Real-time tracking, dietary accommodations, and record maintenance ensure a delightful experience. Explore the future of food convenience!"

Sentiment analysis in R using tweets for zomato and swiggy, two leading food delivery partners in Indian market