Managing diet for a type 2 diabetic person is troublesome and we think by leveraging recommendation AI we can get a quick and easy solution to this. We will look at how Caboom, a platform devoted to democratizing AI, can help healthcare businesses and professionals to come up with a recommendation system of their own within a very minuscule amount of time which required substantial time and resources traditionally.
Mary is in her mid-60s. She was diagnosed with Type 2 diabetes and her doctor suggested that she needs to control her diet. According to the doctor, every meal should contain no more than 40-60 grams of carbohydrates which is very essential for her wellbeing but very difficult to appropriately track every day. While people are aware of the need to regulate carbohydrates, they do not know about the damage foods with a high glycemic load or index can cause. It can be wearisome to properly identify those food items and keep track of it.
What can help her is a calorie tracker which automatically tracks the food and calories and alerts her before she reaches calorie limits of her plan. The system will alert her in time to start controlling her eating habits. For example, during Christmas time, if she gets an alert message before the limit is about to exceed the plan, then she can immediately switch to a low-calorie option with a low glycemic load. This would also make it easier for Mary to choose her food as we would also be able to recommend the next meal according to the required and safe amount of calories and nutrients. Such a tracker will help her to enjoy her time with family and friends by taking care of her calorie plan.
According to Harvard Medical School, 26 million Americans have diabetes. Diabetics can be classified as type 1 and type 2. The most common form of diabetes is type 2. Overweight and obesity is the No.1 risk factor for type 2 diabetes. Based on data published in 2017 by National Diabetes Statistics report more than 87% of adult diabetes patients are overweight or obese.
Being overweight is a risk factor in type 2 diabetes. A calorie alert system can help overcome the risk by tracking the calorie intake for the patient. In this process, nutritionists make a calorie plan for patients and patients keep track of calories consumed in the system. A major limitation in such a system is- it cannot automatically recommend a low-calorie meal if the calorie limit is about to exceed. Doctor or nutritionist intervention is required for the low calorie meal recommendation. Such manual intervention can be replaced by an automatic AI based meal recommendation feature using the patient's meal history.
This brings us to our platform Caboom which we developed as a means to democratize AI. Caboom’s objectives are:
Caboom can act as a big enabler to people who are looking for solving problems on their own without building any AI workforce. Caboom has abstracted each step while developing a recommendation system in a clickable interface which could demand quite a lot of resources otherwise. Traditionally we would need a full-fledged AI team to help discover and put up a recommendation system. However, using Caboom we can guide you to build your own system using simple steps which significantly reduces time and cost.
For non-technical people like doctors and nutritionists,
As you can see the bright blue coloring shows the Caboom Concierge Model where our team of AI experts help to customize and operate the AI recommendation system.
If you are a nutritionist or a doctor with a team of software developers looking to develop this type of AI-enabled applications, then you can use Caboom to kickstart your project. You can focus on serving your users. Leave the heavy lifting of understanding the technology and engineering to Caboom.