Shop Cheap - A Less Costly and More Convenient Shopping Method with Machine Learning Techniques

The world is now seeing a cosmic scale of online buying and mobile shopping, both of which have offered enormous opportunity for buyers and sellers to do business through a variety of channels. Because there are so many different shopping platforms available, it may be time-consuming to search through all of them for a certain item, get the cheapest price, look for discount coupons, and so on. This issue is exacerbated by the proliferation of shopping platforms. The Model "Shop Cheap" is an application that will reduce the efforts and time spent by a user on various platforms by providing them with the best deals, offers, and coupons related to any product from all of the platforms collectively. This will allow the user to spend less time and effort on the various platforms they use. The users of the recommendation system will have products suggested to them based on their shopping habits, budget marks, and discount rates from which they regularly buy, and the users will also be suggested new deals and offer and will be notified of the latest discount rates on their favourite items based on their shopping history. The recommendation system will be able to do this because their shopping history will be analysed.