Grocery Store Dataset

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Grocery Store with server integration

Delivery Boy Flutter App + PHP Laravel Admin Panel, Mobile app solution using a flutter framework created by Google is open-source mobile application development. It is used to develop applications for Android and iOS, as well as being the primary method of creating applications Our solution uses Laravel (PHP Framework for Web Artisans). Laravel is a web application framework with an expressive, elegant syntax. We’ve already laid the foundation — freeing you to create without sweating the small things. Here are the Flutter App Features: - Grocery, Food, Pharmacy, Store Management System - Google Maps for showing restaurants on the maps with direction to them - Entities & Models are ready to use. - Clean & organized Dart Language code using MVC Pattern - Easy to restyle and theming by on your branding sites. - Working fine with bright and dark mode. - Awesome animations are ready to use: Hero Animations, Parallax Animations, Sliding & Swiping animations - Working really well on both iOS and Android with support with 60 frames per second (fps). - Cash on delivery and payment on pickup methods - Support RTL languages (Arabic, Farisi…) - Push notification using FCM (Firebase Cloud Messaging) - Login - Register - Orders - Notifications - User Profile - Orders History - App Settings - App Languages - Help & Supports - Account Settings

Grocery store template is created as a wonderful solution for any agricultural or organic food shop Android App UI template. It is a template for an Android developer that want to create grocery application with a clean design. The template is only lay outing without data flow and communication with the backend system. This UI Template can reduce your development time and will loved by developer that hate lay outing design! You can use this app as one big super market app to sale product of your store. This app make easy for user to buy product from store with easy steps and store can get easy order.

Grocery store app UI built with Flutter

As the name says, Prokit is the Biggest Flutter UI kit. It is the ultimate library of Flutter UI app templates combined into high-quality UI kit for Android developers and iOS developers. The collection consists of app UI kits, full apps, and UI themes. This Flutter kit is designed in dark and light mode. Prokit Flutter UI kit also has the most trending face unlock and biometric integration app UI. This biggest flutter kit is perfect for business like ecommerce store app, bus and travel booking app, hotel booking app, grocery delivery and food delivery app, online education and online learning app, digital wallet app, health and gym app, movie streaming and much more.

Online Grocery Store is an eCommerce based web application for our Web Programming project. We had developed a sample in which user can search and find necessary information about any grocery item, can proceed to checkout to buy products. User can create an account, update personal information, can check its past activities, orders and transactions, and cart items.

This is a website of an online grocery shopping platform developed using HTML, CSS and JS. This project involves only frontend coding languages. This was a group project and we will try to make it better. Any feedbacks are welcome on the project. One last thing, we are uploading the images used in this project but we have added the images using the URLs so there should be no need to add them again.

Detect voids in grocery store shelves.

Grocery Store

A complete grocery store developed with Flutter, .Net Core, Firebase, One Signal and SQL Server as backend

Grocery Store application to showcase good practices in android development

🤡 Fresh 🤖 Market 😻 Frontend 🙉 the beautifully 🚂 designed 🚃 and highly 🚞 interactive 🚋 frontend 🚁 application ✈ a full stack 🚠 online grocery 🚟 store Built 🛸 with performance 🚢 accessibility 🛬 and user 🚒 experience 🚛 in mind this 🛑 app delivers 🚉 a seamless 🧱 shopping 🏘 journey 🕌 from 🍊 browsing 🍏 to checkout 🍅

This project contains my project work on a grocery store management system done on PHP and MYSQL using XAMPP AND PHPMYADMIN

The idea here is to build a grocery store using REACT

Created a fully-featured Online Grocery Store application utilizing Next.js 14, Strapi, Tailwind CSS, and Shadcn UI. ✨ The visual elements of this project are available for viewing across multiple platforms, as detailed in the project description. ✔️

Flutter+Firebase an Online Grocery Store Mobile App & WEB Admin Panel From Scratch.

A multi- vendor E-commerce Grocery store with Html, CSS, Bootstrap, Javascript, PHP and Mysql

Next.js - React demo store to receive orders via whatsapp api

This self-initiated project is a fully responsive website, similar to any online grocery store. The primary language used is React.js, with additional technologies including HTML, CSS, Bootstrap, React-Bootstrap, and JavaScript.

Grocery-Store

A web based project using HTML, CSS, Bootstrap, PHP, JQuery, AJAX and MAMP

Parse grocery store receipt and upload them to google Sheets

A sample Grocery Store app built using the Room, MVVM, Live Data, Rx Java, Dependency Injection (Kotlin Injection) and support Dark Mode

Grocery Store app can sale grocery product, preferred brands, kitchen needs, essential home supplies and more, through this online, one-stop grocery store. It provides you with a convenient way to sale from your grocery shopping app. You can use this app as one big super market app to sale product of your store. This app make easy for user to buy product from store with easy steps and store can get easy order.

Built an E-Commerce Store website using Flask, MySQL, Python and HTML/CSS. Users can purchase products and give reviews, Sellers can add their inventory, IT-Admin can add Delivery Boy and sellers. Used ER Diagram to formulate all the required entities. Ability to use coupon codes with various conditions was implemented.

🍑 FoodCMS™ is the "Yummy CMS" 😋, which gives all information you need to know about every food item you bought in a grocery store.

This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the unit sales for thousands of items sold at different Favorita stores.

Imagine standing at the check-out counter at the grocery store with a long line behind you and the cashier not-so-quietly announces that your card has been declined. In this moment, you probably aren’t thinking about the data science that determined your fate. Embarrassed, and certain you have the funds to cover everything needed for an epic nacho party for 50 of your closest friends, you try your card again. Same result. As you step aside and allow the cashier to tend to the next customer, you receive a text message from your bank. “Press 1 if you really tried to spend $500 on cheddar cheese.” While perhaps cumbersome (and often embarrassing) in the moment, this fraud prevention system is actually saving consumers millions of dollars per year. Researchers from the IEEE Computational Intelligence Society (IEEE-CIS) want to improve this figure, while also improving the customer experience. With higher accuracy fraud detection, you can get on with your chips without the hassle. IEEE-CIS works across a variety of AI and machine learning areas, including deep neural networks, fuzzy systems, evolutionary computation, and swarm intelligence. Today they’re partnering with the world’s leading payment service company, Vesta Corporation, seeking the best solutions for fraud prevention industry, and now you are invited to join the challenge. In this competition, you’ll benchmark machine learning models on a challenging large-scale dataset. The data comes from Vesta's real-world e-commerce transactions and contains a wide range of features from device type to product features. You also have the opportunity to create new features to improve your results. If successful, you’ll improve the efficacy of fraudulent transaction alerts for millions of people around the world, helping hundreds of thousands of businesses reduce their fraud loss and increase their revenue. And of course, you will save party people just like you the hassle of false positives. Acknowledgements: Vesta Corporation provided the dataset for this competition. Vesta Corporation is the forerunner in guaranteed e-commerce payment solutions. Founded in 1995, Vesta pioneered the process of fully guaranteed card-not-present (CNP) payment transactions for the telecommunications industry. Since then, Vesta has firmly expanded data science and machine learning capabilities across the globe and solidified its position as the leader in guaranteed ecommerce payments. Today, Vesta guarantees more than $18B in transactions annually.