INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056 VOLUME: 06 ISSUE: 12 | DEC 2019 WWW.IRJET.NET P-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 775 Android App Development for KokanRaja Sachin Kotapure 1 , Priya Bokare 2 , Kajal Udgire 3 , Prof. Shrishail Patil 4 1,2,3 Student, 4 Assistant Professor, Department of Computer Engineering, JSPM’s BSIOTR, Wagholi, Pune, Maharashtra, India ---------------------------------------------------------------------------***--------------------------------------------------------------------------- Abstract - The development of android application and implementing the concepts in the Kokanraja factory. This application will provide the digital platform for selling the fruit products using android, payment gateway and API Web services. This application will help to deliver products directly from MIDC to customers or vendors address. E- commerce is growing rapidly everyone uses android phones and the digital identity of products plays a very important role to boost the sale of products. We are developing this digital platform as per the customer requirements. Using this application anyone can buy their genuine kokan’s products like happus mangoes, fruit products, etc. The objective of this project is to develop an e-commerce android app where products like fruit items anyone can place orders from anywhere using this android application. However, for implementation purposes, this paper will deal with online shopping using Kokanraja android application. Keywords: Android app, E-commerce, Fruit products, Customers, Vendors, API Web services. INTRODUCTION Kokanraja is a fruit processing unit in MIDC, kudal which is located in Sindhudurg district (Kokan). Kokanraja is a android application to give a platform to people who are looking for buying the kokan’s fruit products like mango pulps, fruit bars, toffees, candies, chips, juices and all type of fruit products. There is a growing interest in the use of e- commerce as a means to perform business transactions over the internet. An e-commerce android application is a virtual store on the Internet where customers can browse different types of fruit products catalog and they can choose items as per their needs. The selected items may be added to a shopping cart. At checkout time, the items in the shopping cart will be shown as an order to the user. Then some information will need to enter to complete the transaction. Usually, the system will be asked to fill or select a billing address and shipping address, then it will show payment options like credit/debit card, net banking, UPI, Wallet. After successful payment then the customer will get the email about order details. The changing technology’s scenario is a wonderful opportunity for retail business to personalize and customize the experience for users. Most of the people want the real genuine products from kokan like as devgad/ratnagiri hapus mango etc. but many times we have seen in the market some vendors cheat to customers. They sell typical mangoes on behalf of hapus mango rate by taking advantage of customer's lack of knowledge about identify the right items. This issue will overcome by using this system because it will also help you to identify the right products. I. LITERATURE SURVEY We prefer different research papers related to android application development and different technologies currently used for android development. We studied ‘Real -Time Databases for Applications technologies’[1] cloud computing is infrastructures that provide more benefits for Kokanraja high-performance computing, crash reporting, centralized data storage, scalability, and remote services access. As usual, Cloud users can access cloud services through Internet-based interfaces using the web browser and Clouds offer the source provision “as a service”. For eg. Google cloud platform which is firebase, Amazon web services (AWS), etc. which provide different features like as up to manage real-time databases, login authentication centralized data storage, update products and it will keep up to date for all users but it has also drawbacks like data migration is not easy. It is a paid but some features are free for use. GPUs that increase performances of the system also support the concurrent operations.[1] We have gone through different research papers of System architectures and methods like Recommendation Systems, Classification Systems. There are numerous of recommendation systems and algorithms which are used by many web applications for recommendation purpose. These algorithms mostly classify and filter different items according to many aspects like behavior or based on some mathematical model and provide the result to the user.[3] Many of these algorithms are machine learning algorithms so it does not require any human interference for e.g. Recommendation on algorithm likes content base filtering or item base filtering. Such an algorithm will be very helpful in our application to recommend different fruit products or selecting the best items as per the customer behavior. Cloud platforms which we study also support these recommendation systems and provide many features to use in a very effective way for suggesting items to customer.