• Yaswanth G
• Amruth Ram P
• Sravani CH
• Vijay Prabhas G
• Premalatha V

Many individuals unknowingly suffer from diabetes due to stress and unhealthy lifestyles, leading to severe conditions by the time symptoms appear. Distinguishing between diabetes types 1 and 2, the project focuses on monitoring and alerting for type 1 through dataset , avoiding hospitalization. The project proposes and data analytics using decision trees, SVM, and ANN algorithms. Two applications, Cloud and User, facilitate data sharing, training models, and predicting patient conditions. The project aims to provide personalized predictions and diet plans, enhancing diabetes management.

Keywords: Diabetes Prediction, tkinter Framework, Personalised Healthcare,svm,ANN

"An Ensemble learning framework for Accurate Diabetes prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.j16-j23, March-2025, Available :http://www.jetir.org/papers/JETIR2503903.pdf

"An Ensemble learning framework for Accurate Diabetes prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppj16-j23, March-2025, Available at : http://www.jetir.org/papers/JETIR2503903.pdf