We already did this split to consider 7 different size, remember? split_size = np.linspace(0,len(data),8) we will do the same, to split our day data in meal data.
There are a lot of things to consider when building a nutrition plan, and I am sure I am ignoring a lot of them. For this reason, I talked to a friend of mine, Cristian Beniamino Milito,who is a certified dietician. He agreed with me that things are way more difficult than I am making them seem, but he gave me some guidelines. We should get: 1. One... See full list on towardsdatascience.com The following is a technical definition of optimization: For example, lets take the following function: In this case, the domain of the function is the interval [-1, 1]. The minimum of the function in that domain is x = 0 and y = 0. We want an algorithm that can find the minimum. Ok, but everybody can create their own custom problem and it doesnt... See full list on towardsdatascience.com So, lets build a mathematical representation of our problem. As we said, we are trying to minimize a cost-loss function. To solve this task using the following method, the loss function has to be linear. This means that given a set of variables x, Our loss function will be something like that: where c is a fixed vector of costs. What is x in our c... See full list on towardsdatascience.com 4.1 Preprocessing At this point, we have all that we need. Lets import some libraries: Now, what we need to do is download the data. They are on Kaggle, free, and ready to use (CC0: Public Domain). Once we have done that, we can easily import them like that: Lets give it a summary look: A lot of information, probably a little too much. What we really need for our simplified experiment is thefollowing: 1. serving_size 2. carbohydrates 3. total_fat 4. calories 5. protein That is all we really need, so lets se... 4.2 Optimization Everything we said and discussed can be implemented and summarized int the following lines of code: So, for example, for a person that weighs 70 kg and has to eat 2000 calories we run the following model: 4.3 Final Product Lets loop it over all the days with these functions: Its time to run it! Assume a 70 kg person with a 3000 calorie requirement: See full list on towardsdatascience.com Now, this model is a little too simple. I am sure that if your dietician is going to give you a list of foods that you need to eat, you are going to change dieticians, and you are right. Even if our model is simplified, we should at least try to acknowledge the fact that we have 35 meals per day and act accordingly. Now, how do we do that? Well, t... See full list on towardsdatascience.com Well, there are a lot of things to consider. The first one is pretty obvious. This model does not work as well as a certified dietician would. Dietitians are always studying quantity, what is good and bad for our bodies, and what is healthy for us and for our minds. Nonetheless, it is true that through this model we are absolutely certain we are ea... See full list on towardsdatascience.com If you liked the article and you want to know more about Machine Learning, or you just want to ask me something you can: A. Follow me on Linkedin, where I publish all my stories B. Subscribe to my newsletter. It will keep you updated about new stories and give you the chance to text me to receive all the corrections or doubts you may have. C. Becom... See full list on towardsdatascience.com This study presents a lightweight, Python-based diet planning system that dynamically generates daily meal plans tailored to individual users. The system utilizes Gradio, an open-source Python library, to build an interactive, web-based user interface. The problem is further constrained by multiple, possibly conflicting requirements such as nutrition, cost, diet, culture, and personal preferences. These requirements refer to different levels of meal planning, which may be on the meal, day, or week level, and may be of different types, such as numerical or logical [6]. How did I create my free meal plan? I built a fixed set of foods that I eat for Breakfast, Lunch, Dinner and Snacks and wrote a code in Python to get me a random list of foods for weekly meal plans. I used Python and Streamlit to do this. Here is a detailed guide on how to do this with Python and Streamlit. What is Streamlit? Streamlit is an open-source Python library that makes it easy to ... The trained model is saved for future use, enabling real-time diet recommendations based on user input. The model suggests personalized meal plans for categories like Low-Carb, Low-Sodium, and Balanced diets, assisting individuals in maintaining optimal health through tailored nutritional guidance.
This study presents a lightweight, Python-based diet planning system that dynamically generates daily meal plans tailored to individual users. The system utilizes Gradio, an open-source Python library, to build an interactive, web-based user interface.
How did I create my free meal plan? I built a fixed set of foods that I eat for Breakfast, Lunch, Dinner and Snacks and wrote a code in Python to get me a random list of foods for weekly meal plans. I used Python and Streamlit to do this. Here is a detailed guide on how to do this with Python and Streamlit. What is Streamlit? Streamlit is an open-source Python library that makes it easy to ...
The trained model is saved for future use, enabling real-time diet recommendations based on user input. The model suggests personalized meal plans for categories like Low-Carb, Low-Sodium, and Balanced diets, assisting individuals in maintaining optimal health through tailored nutritional guidance.
