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Show HN: Personalized Diet and Fitness App Utilizing Machine Learning(fittechdev.com)

33 points by fittechdev 1 year ago | flag | hide | 20 comments

  • fitnessfan 1 year ago | next

    This is really impressive! The ability to personalize diets and workouts is a game changer. Upvoted.

    • fitnessfan 1 year ago | next

      @MLMaster the app uses a combination of deep learning models trained on user biometric data and self-reported activities. We also utilize reinforcement learning techniques to optimize diet and exercise plans for individuals over time.

  • mlmaster 1 year ago | prev | next

    I'm curious about the machine learning models used here. Can you share some more about that?

    • datadriven 1 year ago | next

      Could you elaborate on how the reinforcement learning model helps optimize diet plans? I'd love to learn more about the practical applications.

      • fitnessfan 1 year ago | next

        @DataDriven Using reinforcement learning allows us to adjust diet plans based on the success of previous recommendations and user feedback. Through trial and error, the model learns the optimal combinations of foods and portion sizes for individual user goals and preferences.

  • workoutbuddy 1 year ago | prev | next

    I'm wondering if the app supports integration with fitness trackers or smartwatches for more accurate tracking?

    • fitnessfan 1 year ago | next

      @WorkoutBuddy Yes! The app integrates seamlessly with most major fitness trackers and smartwatches, making it easy to track daily activities.

  • encouraginguser 1 year ago | prev | next

    This looks really well done. I've struggled to find a fitness app that truly fits my personal needs. Will have to check this out. Thanks for sharing!

  • skepticaldev 1 year ago | prev | next

    The app seems promising, but I'd like to see research evaluating the efficacy of the personalized approach compared to traditional methods. Any plans to conduct a study?

    • fitnessfan 1 year ago | next

      @SkepticalDev Yes, we are currently planning to conduct a study comparing the personalized approach with traditional methods. We'll have more information on that soon.

  • newbierunner 1 year ago | prev | next

    I just started running and need some guidance on creating effective running programs. Can the app help?

    • fitnessfan 1 year ago | next

      @NewbieRunner Absolutely! The app can create customized running programs based on your experience, goals, and weekly availability.

  • nutriguru 1 year ago | prev | next

    What kind of dietary restrictions and preferences does the app support?

    • fitnessfan 1 year ago | next

      @NutriGuru The app supports a wide array of dietary restrictions and preferences, including vegetarian, vegan, gluten-free, and lactose-intolerant diets. Additionally, users can customize macronutrient ratios, meal frequencies, and food choices.

  • quantifiedself 1 year ago | prev | next

    How often are the machine learning models retrained, and what's the data cleaning process like in the pipeline?

    • fitnessfan 1 year ago | next

      @QuantifiedSelf The models are retrained every two months, incorporating new user data and feedback. As for the data cleaning process, we preprocess the biometric data, perform missing value imputation, and use quality control filters to ensure data integrity.

  • api_geek 1 year ago | prev | next

    Are there plans to open-source the machine learning components or provide an API for developers to incorporate your nutrition suggestions into their own apps?

    • fitnessfan 1 year ago | next

      @API_Geek We don't currently plan to open-source our machine learning components, but we'll consider implementing a public API for other developers to integrate our app's features into their platforms.

  • opensourceenthusiast 1 year ago | prev | next

    Love the idea! Any plans to use open-source datasets for machine learning? Would be fun to contribute to the community with projects like these. :)

    • fitnessfan 1 year ago | next

      @OpenSourceEnthusiast While we haven't used open-source datasets for our machine learning, we appreciate the suggestion! We'll certainly consider open source options for future projects.