Abstract:
Food is the essential fact for living to all the creatures in this world. In modern day people fulfill
their food needs and other needs by buying groceries in shops. Since the industrial revolution
people started live in structured way. People fulfilled there needs buy using money that they get
paid from work. In time being people started to busy life because of the work load. Since the
supermarkets and discount shops started to emerge shopping habit of people have changed vast
people start to buy more than what they need in order to stock up or to save time. Change in the
people’s shopping habit started to cause food wastage in missive scale. There are many programs
started by governments and other non-government agencies to reduce food waste at consumption
level. Technologies helps to find a solution for more and more complex problems, now many
developed and developing countries investing in new technologies to find a solution for food waste.
Smart shopper System will analyses each customer’s purchase history and predict personalized
shopping list for them. Smart shopper also maintains the pantry list of items in the pantry of
individual users. Smart shopper using the specially designed predictive analysis algorithm for
predicting the future shopping list for customer. As a final output of this project is a Mobile Smart
Shopper application and web application which works with backed API service to make the
application Possible to access through mobile phones and web from anywhere. Users of smart
shopper will be benefitted from system and it will also reduce over shopping which led to food
waste. System will also help users to plan their shopping in finger tips without looking at pantries"
