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Title: | Product recommendation system in warehouse management |
Authors: | Bodke, Kalpana Memon, Mohd Sahil Sajid (17CO35) Bebal, Altamash abdul Hamid (17CO15) Sayyed, Alfina Mohammed Aziz (17CO10) Kokate, Pranali Prakash (17CO04) |
Keywords: | Project Report - CO |
Issue Date: | May-2021 |
Publisher: | AIKTC |
Abstract: | In the current pandemic situation of COVID-19, people are afraid to leave their homes even to get the basic day-to-day life essentials like groceries,vegetables,fruits etc. Everyone wants to maintain social distance, but in some cases even if they want to they can’t. People wants to make less and less interaction with each other for their safety purpose. But they have to leave their homes to get their daily supplements. We never know which seller or vendor is infected. The online shopping sites like amazon, flipkart, bigbasket etc. are providing groceries at home but the disadvantage is that they have limited slots and most of the time they are not available. So if one person wants to cook for today but will get vegetables and groceries after 2 days if he/she shops from these online sites, which makes no sense.We want customers shopping experience for groceries and daily essentials to be hassle free and comfortable. The solution to this problem is an android application and website through which user will be able to shop for daily essentials which will be available to user with minimum time. The main aim of the proposed system is to provide user an easy and safe shopping interface where he/she will shop without any worries of social distancing and other health risks and will get his/her purchase with least time delay. Also, the admin can easily manage the warehouse with help of the admin panel developed. Keywords: Android, COVID-19, Social distance, Groceries, Recommendation,warehouse management, website, online shopping,grocery apps. |
URI: | http://localhost:8080/xmlui/handle/123456789/3777 |
Appears in Collections: | Computer Engineering - Project Reports |
Files in This Item:
File | Description | Size | Format | |
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17CO35.pdf | Black Book | 10.26 MB | Adobe PDF | View/Open |
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