• Atharva Thitme
• Prof. Ashvini kagne
• Jayesh patil
• Atharva satunkar
• Kaustubh urade

Developing an Android application for predicting the risk of type 2 diabetes holds considerable significance in the realm of public health. This application can offer early risk identification, empowering individuals to take proactive measures to reduce their risk of developing diabetes. By raising awareness about the disease and its risk factors, it encourages healthier lifestyles. Furthermore, the app can provide personalized recommendations, such as dietary and exercise guidelines, which can lead to healthier habits. It has the potential to lower healthcare costs by prompting early medical attention and lifestyle changes, ultimately reducing the financial burden associated with diabetes treatment and complications. Preventing complications is another critical aspect, as timely interventions can mitigate severe health issues. The aggregated data collected from the app can be valuable for research purposes, contributing to a deeper understanding of diabetes risk factors and prevention strategies. Additionally, it can support telemedicine integration, offer remote monitoring, and ensure targeted interventions for high-risk populations. The accessibility of Android apps ensures that diabetes risk assessment and prevention tools are readily available, ultimately improving the quality of life for users through education, engagement, and support. However, it is crucial to address ethical considerations, such as data privacy and informed consent, and collaborate with healthcare professionals to ensure the application's accuracy and effectiveness.

Risk prediction, Real-time Notification, Preventive Healthcare, Data Analytics, Scalability

"Android application for diabetes risk prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j767-j779, April-2024, Available :http://www.jetir.org/papers/JETIR2404993.pdf

"Android application for diabetes risk prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj767-j779, April-2024, Available at : http://www.jetir.org/papers/JETIR2404993.pdf