Classification system based on adjectives assigned by users

Classification system based on adjectives assigned by users The task is to create a module (php, mysqli) in an MVC pattern and in creating the DB tables (Mysql). It is a very simple function to make. During the navigation of the web site, the user will have to be able to express his/her vision of a certain product by inserting adjectives that express how the user sees that product. The adjectives will all be inserted by us in advance in order to enable the auto complete function during typing. If an adjective is not present, that word will not be able to be used. The first 3 words that recur most in users’ opinions will become the 3 most important aspects of that product. The classification can change in time according to the votes users give and to the consequent words chosen most often. A practical example: the hypothetical product is a jumper The adjectives are already inserted as mentioned above The users start to express their preferences (max 3) A hypothetical result could be like this: warm (10 votes) soft (8 votes) comfortable (5 votes) cheap (5 votes) fluffy (3 votes) coarse (2 votes) thin (1 vote) In this case, the temporary result would be: warm and soft. In this case there is a tie for third place, therefore the system will select one of the two adjectives randomly until one of the two values changes. The chart is obviously always temporary subject to continuous variations according to users’ votes. The task consists solely in creating modules closely related to what is written, in that the assigned work must be integrated into a system that is already running. Access to the database will not be provided. The professional to whom the work is assigned will create their own space in an artificial database to manage the development of their work. At the end of the work, they will be provided with the database development framework. In order to avoid unnecessary delays, the professional will have to share the step-by-step development of their work. As the majority of clarifications regards this project have been included here, we would most welcome applications from those who prove that they have carefully read every point above, and who apply including at the beginning of their text the hashtag adjectives