-1e416013186c20a17cb-5200 20230407083722873 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2023 12 1 Professor, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India Dr. Alok Katiyar https://orcid.org/0000-0002-1645-6585 Sajid Ali https://orcid.org/0009-0007-5961-3070 Student, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India Sameer Ray https://orcid.org/0009-0006-7319-2332 Student, Department of CSE, Galgotias University Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India Accurate and on-time analysis of any health-related drawback is vital for the interference and treatment of the sickness. The normal method of diagnosing might not be sufficient within the case of a significant illness. Developing a medical diagnosing system supported machine learning (ML) algorithms for prediction of any unwellness will facilitate during a lot of correct diagnosis than the standard methodology. We've designed a disease prediction system using ML. Disease Prediction System using Machine Learning could be a system that predicts the sickness supported data or symptoms that he/she enter into the system and gives correct results supported that data. This predictive disease using Machine Learning is completed entirely with the assistance of Learning Machines and Python programing language with its Flask Interface and mistreatment antecedently offered databases with hospitals that use that we'll predict the unwellness. 05 30 2023 15 18 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true No, We did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Data sets are taken from the Kaggle community. All this project is completed under the guidance (Author) Dr Alok katiyar. All documentation work and somewhat research has been done by (Author) Sajid Ali. Complete Web applications and Research has been done by (Author) Sameer Ray. 10.35940/ijrte.A7568.0512123 https://www.ijrte.org/portfolio-item/A75680512123/