eHealth Project

Successfully delivered the ehealth project to Sheffield Hallam university. A real-time smartphone-based home monitoring app using a personalised LSTM model learns normal movement patterns from accelerometer data and detects abnormalities such as falls or inactivity, triggering alerts via SMS and email.
Evaluated on 25 adults (40–70 years), the system achieved high accuracy (R² = 0.93, error = 0.05), demonstrating a robust, cost-effective, and privacy-preserving solution.

Moregraph Project

The Moregraph application visualises data objects across application boundaries using conceptual graphs, supporting clean-core analysis, technical debt reduction, and future EA advancement.