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@article{179075,
        author = {Shivam Tyagi and Sameer Sabbag and Divyank Choudhary and Nitin Goyal},
        title = {Medicine Recommendation System Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5317-5321},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179075},
        abstract = {This Paper present Medicine Recommendation System that leverages machine learning algorithm like Content-based filtering and K-nearest neighbour and support vector machine (SVM). The main aim is to develop a medicine recommendation system that takes patients medical data and symptom and suggest accurate medicine to the patient. In this system we use many machines learning technique and algorithm such as random forest and support vector machine is order to make the system efficient. The system is train over hundred number of patient data. As we talk about the system development programming skill so we develop system using Python with tools like Scikit-learn and Tensor Flow. Along with this HTML and CSS technology were also used to make the interface by which user can interact easily and feed symptom to the system for their outcome. Along with the medicine the system also suggests Precaution alert, workout, Diet plan etc... In future we will also like to add more feature like feedback option so that the user or patient can suggest more improvement to the system.},
        keywords = {Personalized recommendation system, medicine prediction, diet suggestion, Precaution alert, workout plan suggestion},
        month = {May},
        }