Omnitrix AI

Everyone, at some point, starts counting their calories. It's natural, I guess. We live in an age where most people work more than eight hours a day, sitting in a chair. And eventually, we either gain or lose weight. What we can do is optimize this period as much as possible. If we know how many calories we’re consuming day by day, we can adjust our intake to a level where we stop gaining or losing weight. It's a simple formula. But, of course, we live in a time where many of us are a bit lazy. We want things to be simpler. I don’t need 20 steps to log a calorie. I don’t have 15-30 minutes to spend searching for the calorie content of the food I ate for lunch. It should be faster, something I can do in just a few seconds—whether I’m in bed or walking to the kitchen. However, there’s a problem: current calorie apps don’t let you track local food. Most of us eat homemade or local food, and you can't find the calorie info for these foods in pre-set databases. So, I had to find a way to fix this. And finally, I did. The Workflow: With just one tap, you can activate the voice mode and say something like, “About 150g of homemade cake” or “One plate of pasta from John Moh’s Pasta House,” and the app will calculate the calories for you. There’s no need for a database. The system works like this: it sends the information to AI providers using a system prompt. These providers then search the internet for relevant data. Within 1-2 seconds, they give you an approximate calorie count. For example, if you send data about one plate of John Moh’s pasta, the AI will look it up: First, it checks what John Moh’s Pasta is and where it's from. Then, it searches for blogs, news sources, or interviews with John Moh that might provide details about the pasta. It checks portion sizes, typical ingredients, and other details. It also looks at user comments, Google reviews, and forum discussions. It goes through all of this to gather as much information as possible. If it finds data—for example, that one plate contains 220g of pasta and 20g of olive oil—the result is spot on. If it can’t find detailed information, it estimates based on standards like “how much pasta typically comes in a plate” (usually around 200g to 400g) and gives you a very accurate result with minimal margin of error.