Success Story

Connected Digital Experiences

Empowering Diabetes Patients with Real-Time Glucose Monitoring Application​

Ad Tech company executes Real-Time contextual classification of webpages using multifold classification and interpretation models by leveraging Zimetrics tech-enabled services

Challenges

  • Realtime Glucose Monitoring: Provide Patient the ability to monitor real time glucose level.​
  • Compliance with Regulatory Standards: Application must comply with HIPAA & GDPR requirements.​
  • Global Usability: Application must be usable in different regions – US and Outside US – with regional language support.​
  • Seamless Integrations: Integration with Insulin Pens, Pumps, and Glucose monitoring sensors over BLE​
  • Cross Platform Compatibility: Hybrid Mobile technology-based solution to coverage Android/Ios platforms across versions & device ranges​

Solutions

  • Provided end to end mobile solution for Diabetes patients.​
  • Solution integrates with Insulin pens for Insulin calculation, and allows patient to see TIR, Insights. ​
  • Alerts & notifications for events like High/Low Glucose level, Battery indicators. ​
  • Supported country expansion testing for different regions.​
  • Enabled support for all white-listed devices and operating systems. ​
  • Stack: Dart (Flutter), iOS (Swift), Android (Java, Kotlin), Android Studio, XCode, GitLab, Bitbucket, Postman, MSOffice, FIGMA, Appium, Jira, Confluence, PTC, MAP Agile.​

Impact generated

BTE

Patient can connect with Sensor and transmitter using for RT monitoring.​

UI

Reusable components created under a common UI library. ​

>80%

Test case automation and unit test coverage achieved.​

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Company

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Challenges

Solutions

Deep Learning

Models to categorize industry and subindustries relevant sections and denoise

Language Models

Interpret the key concepts from tables, graphs images and running texts

Vision Models

For layout interpretation and correlation of objects in the frame of moment captured

Impact / Metrics

90%+

F1 Score Harmonic Mean of Precision and Recall

50%+

Improved Relevancy Relative to Cookies

99.9%+

Realtime Data Exchange

Tech Stack

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