Recommendation System plays a very important role in today's digital world, and it makes use of information retrieval, machine learning, and data mining to provide a better user experience. It provides a personalized recommendation to the end-user and helps in decision making. This recommendation system will provide the latest and best price from different online stores such as Amazon, Bigbasket, Grofers. It will make a recommendation based on recent searches and the most frequent item which a user may require. The main goal of developing a hybrid recommendation system model, helps the user to get the best product available without making any extra efforts online. This recommendation will keep track of user search history and carts which were previously created. The user credentials and personal information will be secured using blockchain and the data analysis will be carried out using various algorithms. Traditionally, the user has to search across various sites to get the best deal which is a bit tedious and time-consuming, but this paper will provide a seamless experience as all the data regarding a product will be available at one place where the user will have the freedom to choose the best price and merchant as per his/her requirement.