Currently, a large amount of clinical data spread across various websites makes it difficult for users to find useful information to improve their well-being. Furthermore, the overload of medical information has caused many difficulties for healthcare specialists to make decisions in favor of patients. The choice of the most suitable drug is important for patients and requires specialists who have a lot of information about all drugs as well as medical data of patients. The importance of drug choice is not just in the effectiveness of the latter in the treatment, but there is another factor, which is the side effects presented by the drug. A side effect can range from mild disturbances to life-threatening problems. Therefore, this project’s objective is to create a drug recommendation system that addresses the challenges of scattered clinical data and medical information overload. It aims to recommend effective drugs with minimal side effects, collecting patients’ data to overcome data scarcity. The system targets cases where patients experience side effects, offering alternative drug options. Its significance lays in providing personalized drug recommendations for patients and building a comprehensive patient profile database. Ultimately, this system can enhance healthcare decision-making and improve patient well-being.