AI BREAKING GENERATIONAL BARRIERS

Breaking Generational Barriers: How AI is Helping a 50+ Year Old Create a Diet Plan App

As a 50+ year old individual with chronic pain and other conditions like fibromyalgia, I have had to adapt my life to become self-sufficient and not rely on government welfare. To achieve this, I have started a YouTube channel and am learning to create art to sell with print-on-demand services. However, health is a critical component of this new lifestyle, and I want to help others with similar issues achieve the same goals using AI, technology, and my own experiences.

As I embarked on this journey, I realized that creating a dietary plan app could be a valuable tool for others, but I faced the challenge of not having any up to date programming knowledge. Fortunately, AI and technology have made it possible for anyone to create an app, even if they don't have a technical background. I plan to make the app free to anyone who wishes it, but who knows I may even be able to sell other apps I create as an extra income source. I will have to research that market as well I guess lol.

Have you ever felt intimidated by technology, especially when it comes to creating apps or working with programming languages like Python? As someone over 50, you may feel like these skills are out of reach or just not relevant to your life. However, with the help of artificial intelligence (AI), you can break through those barriers and learn how to leverage these tools to improve your health and well-being.

In this blog post, I'll share my own journey of discovering how AI and Python can be used to create a dietary planning app. As someone with no previous experience in programming or app development, I found the process daunting at first. But with determination and the right tools, I was able to overcome these challenges and make significant progress.

So if you've been hesitant to explore the world of technology and programming, I hope my experience will inspire you to take the first step and see what's possible.

As I researched a bit more to refine my knowledge on the relationship between metabolism and diet for my next blog post, I realized that there is a great need for tools that can help people track their calorie intake and plan their meals accordingly as a general guide. Not a must follow bible so to speak.

 I will go in depth on my issues with calorie counting and how people should actually use such tools later. While there are many apps and websites available for this purpose, I found that most of them are either expensive, difficult to use, or lack accurate information on the calorie content of foods.

To address this issue, I decided to create my own meal planner app that would be accessible and easy to use for people of all ages, especially those over 60 who may not be tech-savvy. I started by looking into existing tools and technologies that I could use to build the app.

At first, I tried using Google Sheets to create a spreadsheet that could calculate the total calorie intake for a given set of meals. However, I soon realized that this approach was not scalable, and that I would need to learn a programming language in order to build a more comprehensive app.

After some research, I decided to use Python as my programming language, as it is widely used for data analysis and has many libraries available that could help me build my app. However, I had no prior experience with Python, so I had to start learning the language from scratch.

I am using a combination of online tutorials, documentation, and AI-powered language models to learn Python and build the app. One tool that proved particularly helpful was PyInstaller, which allowed me to package the app into a standalone executable that could be downloaded and installed on any Windows computer without requiring Python or any additional dependencies.

While I have not yet completed the app, I am making good progress and have already implemented some of the key features. For example, I have created a database of common foods and their calorie content, which users can access by searching for an ingredient in their meal. I have also created a form where users can input their meals, including the quantities of each ingredient, and the app will calculate the total calorie intake for the day.

Of course, there is still a lot of work to be done to make the app user-friendly and reliable. For example, I plan to add features like automatic calorie tracking based on barcode scanning, as well as more advanced analysis and reporting capabilities. I am also working on improving the accuracy of the calorie data by cross-referencing multiple sources and conducting my own research.

Overall, building this app has been a challenging but rewarding experience, and I believe that it has the potential to help many people improve their health and well-being through better nutrition. While I am not yet an expert in Python or app development, I have learned a lot through this process, and I hope to continue refining and improving the app in the coming weeks and months. 

While the app is not an essential part of my systems it should help those who feel they need that extra step in managing their diet, if they wish to refine or micro manage their diet to any degree without the stress of doing so. 

Thanks for reading today and please note the next blog on metabolic advantages and how to leverage and train your metabolism, is well underway and I will finish it soon.