| dc.description.abstract | The rapid progression of internet-based
communication technology has brought about a profound
transformation in society, with implications for health care,
particularly for expectant mothers. The smartphone
application "NutriMom," which is based on image
processing, is suggested in this study to empower expectant
moms in Sri Lanka by improving their convenience and
well-being. By letting users track their daily caloric intake
and apply picture analysis to detect nutrients in their meals,
the application aims to reduce nutritional issues. The app
has features including an AI guide, grocery list generation,
and a nearby grocery store locator in addition to providing
individualized nutritional suggestions depending on the
user's BMI. Using a mixed-method approach, the study
combines data from interviews, surveys, and content analysis that is both quantitative and qualitative. With 74.7 of surveyed pregnant women not utilizing any such
applications, preliminary findings indicate a significant
demand for mobile applications in pregnancy care. The
study emphasizes how mobile health solutions might
enhance the health of expectant mothers and fetuses,
especially in settings with limited resources like Sri Lanka.
The NutriMom app makes use of developments in deep
learning and computer vision to offer dietary assessments
in real-time, guaranteeing pregnant moms receive the
assistance and care they need for a safe pregnancy. | en_US |
