MediMentor AI-Powered Medical Diagnosis and Recommendation System

  • Unique Paper ID: 172942
  • PageNo: 1391-1398
  • Abstract:
  • The project “MediMentor AI” provides the system for self-diagnosis and recommendation of treatment Most Doctors recommend patients to describe the symptoms of which the diseases will be predicted. Medical advice with an analysis of medicines, Taking into Consideration necessary precautions, suggesting workouts, and some diet recommendations. A solution to the problem of availability of healthcare services in the most remote areas is to provide such recommendations regardless of time A set of indicators such as accuracy and confusion matrices comprises the evaluation section for systems efficacy. This work documents the possibilities of the use of machine learning in the healthcare industry to enhance access to and delivery of health services.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{172942,
        author = {Kaif Khan and Manpreet Hire},
        title = {MediMentor AI-Powered Medical Diagnosis and Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {1391-1398},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172942},
        abstract = {The project “MediMentor AI” provides the system for self-diagnosis and recommendation of treatment Most Doctors recommend patients to describe the symptoms of which the diseases will be predicted. Medical advice with an analysis of medicines, Taking into Consideration necessary precautions, suggesting workouts, and some diet recommendations. A solution to the problem of availability of healthcare services in the most remote areas is to provide such recommendations regardless of time A set of indicators such as accuracy and confusion matrices comprises the evaluation section for systems efficacy. This work documents the possibilities of the use of machine learning in the healthcare industry to enhance access to and delivery of health services.},
        keywords = {Medical Diagnosis, Machine Learning, Disease Prediction, AI in Healthcare, Health Recommendations.},
        month = {February},
        }

Cite This Article

Khan, K., & Hire, M. (2025). MediMentor AI-Powered Medical Diagnosis and Recommendation System. International Journal of Innovative Research in Technology (IJIRT), 11(9), 1391–1398.

Related Articles