MyType ML/AI Dashboard

Ademola Afolabi

ML Engineer
Software Architect
Web Developer
NestJS
PyTorch
React
Problem:
Dating apps generate vast amounts of user data daily, but extracting valuable insights from this data to improve user engagement and business growth is challenging. Traditional analytics tools lack the real-time monitoring and intelligence capabilities needed to process these datasets effectively. Apps face difficulty in understanding user behaviors, detecting patterns, and identifying fraudulent activities, all of which limit the app’s potential to optimize user experience and drive growth.
Action:
To address these challenges, we integrated New Odyssey frameworks into the dating app, providing advanced real-time data monitoring and business intelligence capabilities. The framework allowed the app to track user behaviors, communication patterns, and engagement metrics in real-time. This solution enabled deeper insights into user interactions, driving targeted improvements in user experience and functionality.
Result:
The integration of New Odyssey frameworks transformed how the dating app handled data and decision-making. Real-time monitoring allowed for immediate insights into user activity, improving user engagement by 25% The AI-driven fraud detection system reduced suspicious activity by 40%, ensuring a safer platform for users.
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