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MLTR 3.0 — AI-Powered Nutrition and Hydration Tracking
MLTR simplifies health tracking. Use AI to scan food for instant nutrition info, build meals from photos, monitor hydration, and sync with Apple Health. Personalized analytics keep you motivated. Now also on Apple Watch.
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Replies
Excellent new tool for nutrition tracking! Saving time not having to search the huge databases for the exact right item is awesome for any items without an available barcode to scan.
Congrats on the launch!
@anthony_latona thank you!
By the way, instead of a barcode, even if it is available on the packaging, you can shoot not only cooked meals, but also the packaging itself to obtain data on the calorie content of the product.
@maxjacobs thank You! Some additional AI features are coming soon. So it will be even easier to log your meals in near future.
This update is very important for me. After all, this is a serious step towards my dream of making the process of diet control even easier and more affordable. I know from my own experience how difficult it is to keep your body in shape while spending many hours every day at the computer. And how important it is for overall productivity.
I am glad that the use of AI gives us so many opportunities to simplify our lives and improve its quality. And I hope that MLTR, having become smarter, will not start a rise of the machines 😎
@vitor_seabra There is a trial period available with all the options, including AI photo recognition. I hope you appreciate this feature.
MLTR is amazing! AI food scanning, meal building from photos, hydration tracking, and Apple Health sync are super convenient. Love it on Apple Watch!🚀
@sandro_bolkvadze thank You!!
We hope that people will appreciate the option of composing meals right from a photo. This should be convenient when you can recognize all products in one photo at once, and not each one separately.
As a doctor I often have difficulty discussing dietary modification with patients in a short consultation. Oftentimes I just don't know enough about what a patient's diet is really like. Most nutrition/calorie tracking apps require a lot of effort and my average patient doesn't have the patience to use them. I can really see this as being something I could sell to my patients as a straightforward and effective way of getting accurate nutritional information. Brilliant!
@david_garioch Thank You!
I myself had serious problems with excess weight. And back then, the complexity of calorie counting apps got me thinking about creating a simpler, more user-friendly app. So I really hope that our work can be useful for people looking for a way to change their lives.
@david_garioch that’s amazing, I am glad to get a thumbs up from a medical professional. We actually spent a lot of time as a team discussing how this could be applied to help doctors get better insight into nutrition of their patients. Such as figuring out causes for poor blood blood work results. Would you be down to jump in a call with us to discuss what you as a doctor would like to see in such applications? Because I really feel like a lot of these health apps don’t take the “actually” important things that doctors need, into account.
@dan16 yeah I'd be more than happy to discuss further! I'm based in the UK and I think the different health systems are likely to have a significant impact on what the average doctor might find useful/see as valuable. Very happy to give my perspective!
@david_garioch Thanks for the reply. We aim to help medical professionals overall, not just in the US. Do you have a LinkedIn that I can use to message you?
@dan16 Of course, https://www.linkedin.com/in/davi...
Look forward to catching you there.
I’m so fascinated by this. Calorie counting gets so so tedious. This sounds like an amazing solution to that problem 🙌 all the best for your launch
Hey, congrats on the launch.
This is really helpful & would save a lot of time in tracking foods, which is often a major friction point with other apps. I have seen that many others have introduced this feature as well, so a couple of questions -
Q1. How accurate is the measurement based on your tests? Compared to manual tracking, how close does it come?
Q2. What are the significant differences from the other AI trackers in nutrition planning apps?
Good luck!
@kshitij11 thank you for your wonderful, wonderful questions.
In our experience the results are quite accurate. However, the AI obviously cannot know if you used heavy cream in your sauce or low-fat yogurt, which would greatly alter the fat composition of your meal. That is why you can always use the text field to give a more detailed description of what you’re eating, or our soon to release feature of adding additional detail details to the picture that you have taken to get a more accurate result. And then on top of that, our goal was not to provide pinpoint accurate results because ultimately that’s an impossible goal even with branded foods. we wanted to create a food tracking application that is not monotonous, time consuming, and tedious to use. But rather give users an option to keep track of their health nutrition quickly, just one picture and you’re done.
Regarding your second question, I’d say the biggest difference here is that we are taking the AI approach from a different than our competitors. A lot of apps that we tested use AI as an add-on to provide a chat or or even even food identification, but that’s it. We take our time and build out our AI features to be fully integrated with your use of MLTR. For example, we don’t just identify your meal, but we split it into individual ingredients so you can edit it however you like.
And that’s not to say about the features that we are working on at the moment 😉
Biteme: Calorie Calculator