Close
0%
0%

DéjàPoo

Gather data of both eating behaviours and corresponding conditions of bowel movements without going to the laboratory. Data from home!

Similar projects worth following
  • Description
  • Details
  • Files 0
  • Components 0
  • Logs 0
  • Instructions 0
  • Discussion 0
DéjàPoo is a series of applications that compares eating behaviour with one's condition of stool without going to the laboratory. Using machine learning AI, time-based data tracking and camera sensors, it can track timed eating behaviour of those who link eating behaviour with bowel movements from home, such as those with Irritable Bowel Syndrome (IBS), while also tracking the condition of their bowels following that timed eating behaviour.

For example, DéjàPoo can provide researchers and physicians with accurate data indicating factors such as skipped meals, consumption of late-night snacks or timed breaks between meals by tracking when users eat. With this data, they can find patterns on how it can affect the stool of someone suffering from something such as Irritable Bowel Syndrome.

Irritable Bowel Syndrome (IBS) is a widespread condition involving recurrent abdominal pain and diarrhea or constipation. IBS treatments include diet and lifestyle changes

Enjoy this project?

Share

Discussions

Similar Projects

Does this project spark your interest?

Become a member to follow this project and never miss any updates