Online Grocery Recommender System Using Collaborative Filtering

• Python
• Machine Learning

Now a days there is a lot of trend of online shopping. Almost all the products which are used in day to day life are available online especially grocery. So there are many projects going on online grocery shopping systems. And most of them have recommendation systems in them. Recommendations are used for making the work of the customer more easy and fast. This reduces their valuable time and also the efforts. For this the recommendations given to the customer should be exact and should be fast. And most importantly they should none irritate the customer. These recommendations are mostly given based on their necessity and their interest. Therefore the customer?s necessity can be predicted from their purchase history and customer?s interest can be predicted from the people have interest same as that customer. In our project of online grocery recommendation system, we are going to develop a recommendation system which will recommend the customer products of his interest and necessity. One more additional feature in our project is that the customer is recommended a special basket based on his profile and also purchase history to some extent.