Vitamin D Deficiency Identifier :
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The goal is to identify vitamin deficiencies in people by utilizing images of particular body parts.
Offer a substitute for expensive laboratory analytical techniques.
Methodology:
The program examines images of the tongue, eyes, lips, and nails, among other body parts.
These bodily parts show indications of vitamin deficits that are easily identifiable.
Image analysis is done using deep learning techniques, more precisely a Convolutional Neural Network (CNN).
These bodily parts show indications of vitamin deficits that are easily identifiable.
Image analysis is done using deep learning techniques, more precisely a Convolutional Neural Network (CNN).
Method:
Using their cellphones, users snap pictures of the designated body parts.
These photos are processed by clever software, which then determines whether any vitamin deficits may exist.
These photos are processed by clever software, which then determines whether any vitamin deficits may exist.
In order to remedy the identified deficiency, it offers a list of dietary options.
For awareness, anticipated problems resulting from the shortage are also highlighted.
Benefits:
The diagnosis is based on visuals; blood samples are not required.
assists in overcoming a lack of knowledge about nutrition.
facilitates correct diagnosis by medical professionals.
assists in overcoming a lack of knowledge about nutrition.
facilitates correct diagnosis by medical professionals.
Search terms:
- Determine vitamin deficiency
- Convolutional Neural Network (NNN)
- meal recommendation
- Mobile program
This program is a useful tool for tackling a global issue that millions of people are impacted by globally.
PROJECT FULL DETAILS:
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