About DiabetesAI
Empowering individuals with AI-driven diabetes risk assessment and personalized health insights for better preventive care.
DiabetesAI is dedicated to making diabetes risk assessment accessible, accurate, and actionable for everyone. We believe that early detection and prevention are key to reducing the global burden of diabetes and improving quality of life for millions of people worldwide.
Our platform combines cutting-edge machine learning algorithms with evidence-based medical knowledge to provide personalized health insights that empower users to make informed decisions about their health and lifestyle.
Our machine learning models are trained on comprehensive medical datasets and continuously updated to provide the most accurate risk assessments possible.
Your health data is processed securely and stored locally. We prioritize your privacy and never share personal information with third parties.
All health recommendations are based on current medical guidelines and research from leading healthcare organizations and diabetes associations.
We regularly update our algorithms and recommendations based on the latest medical research and user feedback to ensure the highest quality service.
Mahesh Darapureddy
Expert in healthcare technology and machine learning algorithms. Passionate about creating intelligent applications that make healthcare accessible and accurate.
Mahesh Darapureddy
Expert in healthcare technology and machine learning algorithms. Passionate about creating intelligent applications that make healthcare accessible and accurate.
Male Krishnadeepika
Specializes in React and Next.js with focus on user experience design. Creates intuitive interfaces that make complex health data easy to understand.
Male Krishnadeepika
Specializes in React and Next.js with focus on user experience design. Creates intuitive interfaces that make complex health data easy to understand.
Surneedi Tejaswi
Ensures clinical accuracy and evidence-based recommendations for all features. Bridges medical expertise with cutting-edge AI technology for better outcomes.
Surneedi Tejaswi
Ensures clinical accuracy and evidence-based recommendations for all features. Bridges medical expertise with cutting-edge AI technology for better outcomes.
Siddina Manikanta
Specializes in secure APIs and data processing infrastructure. Ensures robust and secure handling of sensitive health data with enterprise-grade security.
Siddina Manikanta
Specializes in secure APIs and data processing infrastructure. Ensures robust and secure handling of sensitive health data with enterprise-grade security.
Machine Learning Model
- • Random Forest Classifier
- • Trained on Pima Indian Diabetes Dataset
- • 95%+ accuracy on validation data
- • Regular model updates and retraining
Technology Stack
- • Next.js & React for frontend
- • Python & scikit-learn for ML
- • Secure API endpoints
- • Responsive design with Tailwind CSS
Important Medical Disclaimer
DiabetesAI is designed for educational and informational purposes only. The predictions and recommendations provided by this application should not be considered as medical advice, diagnosis, or treatment. Always consult with qualified healthcare professionals for proper medical evaluation, diagnosis, and treatment of any health conditions. Do not disregard professional medical advice or delay seeking treatment based on information from this application.