Empowering Diabetes Management with Advanced AI
About the project
Diabetes Management with Advanced AI
Managing diabetes can be challenging, with numerous factors influencing blood glucose levels. At sattiv, we understand these challenges and are committed to making diabetes management simpler, more accurate, and more personalized. Our cutting-edge AI model, designed to predict blood glucose levels based on various inputs, is at the forefront of this revolution.
Project Features
Data-driven approach
High Visibility
Data analysis is fully transparent and AI models are straightforward.
Convenient Features
You can decide which features to share with us, any combinations of data sources can be used for analysis.
Editable Data
You can always request your data or request it to be removed from analysis.
Fully Secured
All analysed data is fully anonymised and stored securely.
Cloud Storage
Data can be made available using cloud solutions.
Fully Responsive
Your data can be conveniently accessed using our mobile application.
Model
How our AI model works
Our AI model leverages Long Short-Term Memory (LSTM) networks, a type of recurrent neural network (RNN) specifically designed to handle time-series data. This allows us to analyze and predict blood glucose levels with high ac- curacy by considering the sequence and timing of various inputs.
Physical Activity: Track your exercise and daily movement.
Insulin Intake: Monitor the type and dosage of insulin used.
Food Intake: Record meals, including carbohydrates, proteins, and fats.
Heartbeat: Measure heart rate to assess physical exertion and stress levels.
Weather: Consider environmental factors like temperature and humidity.
Who supports us
Our partners
Astana Hub
Participants of AI'preneurs acceleration program. We are receiving continuous support and tracking from Astana Hub.
Nazarbayev University Social Development Fund
In 2022-2023 we received funding for the development of a data collection MVP from Nazarbayev University Social Development Fund. Currently, we are receiving support for the product development.
Team
Meet our team
Zhanel Zhexenova
Solution Architect
MSc in Artificial Intelligence from University of Bologna. Human-Robot Interaction researcher.
Arman Tleubayev
CFO
MA in Economics from Turan University. Public-private partnership specialist.
Raushan Zhanbolatkyzy
Endocrinologist
MD at UMC Heart Center
Al-Farabi Nagashbayev
ML and DL expert
Deep Learning researcher