Shopping Spree: A Location Based Shopping Application
Priyadarsini S1, Junie Mariam Varghese2, Aparna Mahesh3, Talit Sara George4
1Priyadarsini S*, Assistant Professor, Providence College of Engineering, Chengannur, India.
2Junie Mariam Varghese, UG Scholar, Providence College of Engineering, Chengannur, India
3Aparna Mahesh, UG Scholar, Providence College of Engineering, Chengannur, India
4Talit Sara George, Assistant Professor, Providence College of Engineering, Chengannur, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1451-1455 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8120088619/2019©BEIESP | DOI: 10.35940/ijeat.F8120.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Clients, for the most part, look for an item depend on its class and go to related kind of shop to get it. Nowadays shops sell various categories of goods at the same time. Thus the customers often have to spend more time to find out the most suitable products and shops before making any purchase. Sometimes the customers may not be able to achieve this, especially if they are in a hurry or unaccustomed with the nearby shops. Shopping Spree is a Geo-location based Progressive Web App which helps the customers to find the nearest stores availing a product. The detailed information of searched product along with details of the shops is displayed. A navigation map is incorporated for ease of finding and reaching the shop. The app also has a smart prediction system which would predict the future sales of a product. Many features like call option, rating, and wish list are added to improve the user experience.
Keywords: Progressive Web App, Geo-location, Random Forest Model.