6014 results found

1. minimum calories should be set to 1200

   Minimum calories should be set to 1200 to allow for patients that need to consume less than 1400 calories a day to have a meal plan to assess their needs. Not everyone needs to follow calories of at least 1400 calories and there should be an option to have less.

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   0 comments  ·  Meal Planner (in-app)  ·  Delete…  ·  Admin →
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2. Nutrition target phases

   Hey all! My suggestion is to add phases to nutrition targets just like you can add phases/cycles to a training program. Eg. 8 week calorie deficit, 2 weeks of maintenance, then another 8 week calorie deficit etc.

   With a big group of clients it can be pretty challenging to stay on top of who is ready to transition to maintenance or a diet break and back to their calorie deficit, resulting in lots of screenshots on my desktop to keep track of their deficit and maintenance calories between their phases as we currently have to edit their existing target manually, which means you can't see past or future targets either.

   Hey all! My suggestion is to add phases to nutrition targets just like you can add phases/cycles to a training program. Eg. 8 week calorie deficit, 2 weeks of maintenance, then another 8 week calorie deficit etc.

   With a big group of clients it can be pretty challenging to stay on top of who is ready to transition to maintenance or a diet break and back to their calorie deficit, resulting in lots of screenshots on my desktop to keep track of their deficit and maintenance calories between their phases as we currently have to edit their existing target manually,… more

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   0 comments  ·  Nutrition  ·  Delete…  ·  Admin →
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3. Show Average macros/calories for MFP clients that are using the new integration in the Nutrition Center (Sept /25)
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   4 comments  ·  Client Progress Reports  ·  Delete…  ·  Admin →
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4. Utilisez intelligemment les sonnerie téléphone portables

   La sonnerie de téléphone est un élément incontournable de notre quotidien. Elle nous alerte d’un appel, d’un message ou d’une notification importante. Pourtant, son usage peut parfois être source de gêne, de distraction ou même de stress. Bien utilisée, la sonnerie devient un outil pratique et agréable ; mal utilisée, elle peut être perçue comme intrusive. Alors, comment utiliser intelligemment les sonneries de téléphone portable pour allier confort personnel et respect des autres à https://sonnerietelephone.org/

   Choisir la bonne sonnerie pour chaque situation

   L’une des premières étapes est de sélectionner des sonneries adaptées. Si les musiques fortes ou amusantes sont parfaites pour un usage personnel, elles ne conviennent pas toujours dans un contexte professionnel.

   Au travail : privilégiez des sonneries sobres et discrètes.

   À la maison : optez pour des sons plus originaux ou amusants selon vos envies.

   En public : une sonnerie douce ou un mode vibreur évite de déranger les autres.

   En variant vos sonneries selon le contexte, vous créez un environnement plus harmonieux.

   Personnaliser les contacts importants

   La plupart des smartphones permettent d’assigner une sonnerie différente à chaque contact. C’est une excellente manière de reconnaître immédiatement l’appelant sans même regarder l’écran.

   Famille : une sonnerie chaleureuse ou affective.

   Collègues : une tonalité professionnelle et neutre.

   Amis : un extrait musical ou un son plus fun.

   Cette méthode vous aide à gérer vos priorités et à ne pas manquer les appels essentiels.

   Limiter les interruptions avec les modes intelligents

   Les téléphones modernes proposent plusieurs options pour gérer intelligemment les sonneries :

   Mode Ne pas déranger : idéal pour les réunions, le sommeil ou les moments de concentration.

   Mode vibration : pratique dans les transports ou les lieux publics.

   Programmation horaire : certains smartphones permettent de couper automatiquement les sonneries la nuit ou pendant vos heures de travail.

   Ces fonctions réduisent le stress lié aux notifications constantes.

   La sonnerie de téléphone est un élément incontournable de notre quotidien. Elle nous alerte d’un appel, d’un message ou d’une notification importante. Pourtant, son usage peut parfois être source de gêne, de distraction ou même de stress. Bien utilisée, la sonnerie devient un outil pratique et agréable ; mal utilisée, elle peut être perçue comme intrusive. Alors, comment utiliser intelligemment les sonneries de téléphone portable pour allier confort personnel et respect des autres à https://sonnerietelephone.org/

   Choisir la bonne sonnerie pour chaque situation

   L’une des premières étapes est de sélectionner des sonneries adaptées. Si les musiques fortes ou amusantes sont parfaites… more

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   0 comments  ·  API  ·  Edit…  ·  Delete…  ·  Admin →
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5. More dance classes and zumba at Cooligde Corner

   There are not enough dance classes / Zumba classes

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   0 comments  ·  Exercise, Workouts and Programs Exercises  ·  Edit…  ·  Delete…  ·  Admin →
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6. Copy, Paste and Edit Workout

   Have the ability to copy and paste a workout from one week to another.
   Also, edit the workout on the calendar view,

   Example:
   Copy last weeks strength workout for a client to next week, then have the ability to switch accessory movements and adjust REPS x SETS

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7. How does sentiment analysis work in NLP?

   Sentiment analysis also referred to as opinion mining is among the most well-known uses that make use of Natural Language Processing (NLP). It is a method of categorizing and identifying emotions thoughts, attitudes, and feelings expressed in text. In simple terms, sentiment analysis assists computers in determining whether text communicates a positive neutral, or negative feeling. Due to the explosion of online and social media sites, reviews and customer feedback, the use of sentiment analysis has grown into a potent tool for researchers, businesses and companies to discern emotions expressed by humans in written language.

   At the heart of sentiment analysis is the difficulty of teaching machines how to interpret natural language, which is often unclear, context-dependent and full of nuances. Words can have different meanings according to the context. For instance, the term "unpredictable" could be negative when referring to the performance of a car, but positive when discussing a thriller film. So, the process of sentiment analysis is based on linguistic rules as well as machine learning techniques to accurately discern the tone of text. https://neodb.social/users/Gurpreet333/

   The process starts with the preprocessing of text in which the raw content is cleaned, and arranged to allow for analysis. This usually involves removing punctuation marks, stop words and special characters, and then converting the words to a standard format by stemming or lemmatization. Preprocessing makes sure your text will be streamlined and suitable for computer models to deal with. After data is cleansed and sorted, feature extraction methods apply to render text into the form of numbers. The most commonly used methods include the Bag-of-Words model and term frequency-inverse document Frequency (TF-IDF) as well as modern word embeddings, such as Word2Vec, GloVe, or BERT. These representations assist machines in capturing the semantic connections between words and comprehend the context better.

   After feature extraction and preprocessing The text is then analyzed with rules-based techniques or machine learning models or deep learning methods. Rules-based approaches depend on predefined dictionaries of words that are associated with sentiment scores. For example, words like "happy" or "excellent" are given positive scores and words such as "angry" or "terrible" are assigned negative value. The rules then are utilized to determine the overall meaning of a phrase. While simple, this method is often unable to handle complex words like irony, sarcasm, or sarcasm.

   Machine learning methods On the other hand take sensual analysis in the sense of a problem of classification. Models like Naive Bayes, Logistic Regression as well as support Vector Machines have been trained using labels of datasets that contain texts with known sentiments. After training it is able to determine the tone of unread text. The models can recognize patterns in language usage and context which makes them more adaptable than rules-based systems. However, their effectiveness is dependent greatly upon the caliber and quantity of the data used for training.

   In the last few years, advanced deep-learning models along with advanced languages have changed sentiment analysis. Neural networks like Recurrent Neural Networks (RNNs) and Long Short-Term Memory Networks (LSTMs) and, more recently, Transformers such as BERT and GPT can be adept at analyzing complex dependency as well as the context of text. These models don't just depend on the individual words, but also look at grammar, sentence structure and subtle signals to discern the mood more precisely. For instance, the expression "I didn't dislike the movie" can be correctly understood as positive by deep-learning models, however, simpler systems may misinterpret it as negative because of being able to detect "dislike."

   One of the major issues in sentiment analysis is tackling the subjectivity of sarcasm, sarcasm and the cultural differences in the language. The majority of people make use of irony, humor or slang which is difficult to comprehend for machines. Furthermore, the sentiments may be specific to a particular domain. For instance, the term "cheap" might be positive when referring to a cost of the product however negative when it comes to quality. To tackle these issues domain-specific training data sets and models that are fine-tuned are commonly employed.

   The uses that are based on sentiment analysis can be numerous and expanding. Businesses employ it to track the feedback of customers, evaluate product reviews, and keep track of the social media reputation of their brand. The government and other organizations use it to study the public's opinion, and financial firms employ it to assess the mood of markets. Thanks to advances with NLP and AI, analysis of emotions is continuing to develop to become more precise and capable of understanding emotions of people in a more nuanced manner.

   Sentiment analysis also referred to as opinion mining is among the most well-known uses that make use of Natural Language Processing (NLP). It is a method of categorizing and identifying emotions thoughts, attitudes, and feelings expressed in text. In simple terms, sentiment analysis assists computers in determining whether text communicates a positive neutral, or negative feeling. Due to the explosion of online and social media sites, reviews and customer feedback, the use of sentiment analysis has grown into a potent tool for researchers, businesses and companies to discern emotions expressed by humans in written language.

   At the heart of sentiment… more

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8. Favorite meals from Smart Meal Plan

   It would be nice if clients could favorite their most liked meals from their Smart Meal Plan and not just from the discover tab. If they tried a meal from their meal plan, they have to go search for it in the discover tab. It would be helpful for them to be able to just favorite it right from the meal plan section.

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   0 comments  ·  Nutrition  ·  Delete…  ·  Admin →
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9. Stock challenges

   I want pre-made challenges that people can sign up for themselves instead of manually adding people. It would be AMAZING if there were a challenge per month that was pre-designed. Like apple watch does and, again, that people could sign up for. If we could group message all of our clients and they could click the button and get added. Including nutrition goals and a variety of things.

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   0 comments  ·  Groups and challenges  ·  Edit…  ·  Delete…  ·  Admin →
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10. MFP Premium keep Macro/Calorie counts available

    When clients use the new MFP integration please continue to have the average Macro/Calorie counts available on the weekly Summary in the Nutrition Centre

    8 votes

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    2 comments  ·  Integrations  ·  Delete…  ·  Admin →
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11. More detailed reports and/or filters to support larger teams

    The software could make significant improvements to help business owners manage their team more effectively - i.e. improving the number of reports we can pull and filters we can use for sales, referrals, compliance of clients on a specific coaches' roster, messages a coach sends, response time reports, retention rates, etc. There are so many things I would love to have data on to track KPIs for my team, but would have to calculate manually.

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12. Prestige Evergreen View

    Prestige Evergreen is a high-end residential complex owned by the Prestige Group located near Varthur on Whitefield Road in Bangalore. It consists of ten high-rise towers with 2000 sophisticated flats spread across 21 acres. There are 1, 2, 3, and 4 BHK residences in the complex, with sizes ranging from 650 to 2500 square feet. Prestige Evergreen guarantees a contemporary living with comfort and investment value thanks to its first-rate amenities and excellent access to IT hubs, the metro, schools, and shopping centers.
    https://www.prestigesevergreen.info/

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    2 comments  ·  Mindbody  ·  Delete…  ·  Admin →
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13. Is there a solution that will scan my Outlook PST and remove duplicate emails and calendar entries without messing up my data?

    Yes, there is a solution that would scan your Outlook PST and remove duplicate emails and contacts without messing up your data. You could then use Trustvare Outlook Duplicate Removal, which will quickly scan your duplicate PST and delete duplicate emails, contacts, and calendar entries while still preserving your data. You can also see all the duplicates detected in PST before deleting what you want to remove. The product allows you to keep your important items and delete unnecessary duplicates, keeping your PST organized while allowing Outlook to run smoothly. This tool can be capatible with all Windows OS versions like 11, 10, 8.1, 8, and 7 to name a few.

    Visit here: https://www.trustvare.com/duplicate-remover/pst/

    Yes, there is a solution that would scan your Outlook PST and remove duplicate emails and contacts without messing up your data. You could then use Trustvare Outlook Duplicate Removal, which will quickly scan your duplicate PST and delete duplicate emails, contacts, and calendar entries while still preserving your data. You can also see all the duplicates detected in PST before deleting what you want to remove. The product allows you to keep your important items and delete unnecessary duplicates, keeping your PST organized while allowing Outlook to run smoothly. This tool can be capatible with all Windows OS versions… more

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14. coaches to be able to do side by side comparisons in clients progress photos

    clients can do a side by side comparison of their photos in the app but as coaches we cannot on the web. Can we have this feature added so that when we are reviewing the clients photos we can see clearly how they are doing side by side please.

    8 votes

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15. allow the client to see the attachments in their app

    Please allow clients to view what us coaches upload into the attachments tab. We at BTSFitness.uk use this attachments tab to put their contracts, application form, intake form and any feedback forms into so that they can refer back to them when reviewing current goals etc. Ive only just found out after 3 months that the clients cant view this tab on the web or their app. We NEED this ability for clients. Thanks in advance.

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16. Desktop Dark mode

    As far as I can tell there's dark mode on mobile but not on desktop. Dark mode on desktop would help SO much to avoid eye strain as I'm doing all my work.

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17. Use more filters for better selection of meals (Prep-Time, Simplicity, Repetition of days)

    Not just type of diet but prep time and simplicity. Most clients struggle to prep their own meals. Simplicity is the answer to a complex world of nutrition. Hence, it would be highly beneficial to have options on high-protein recipes that are prepped under 15 minutes for examples.

    I got curious after announcement of the 70+ High Protein recipes in 10 Mins, so I wanted to check out, if I could implement them into a weekly diet order.

    But that didn´t work. In combination for most people with body-comp goals and less time it would be beneficial to have a selection of meals, that they want to consume most of their time during a fatloss or muscle building phase.

    Not just type of diet but prep time and simplicity. Most clients struggle to prep their own meals. Simplicity is the answer to a complex world of nutrition. Hence, it would be highly beneficial to have options on high-protein recipes that are prepped under 15 minutes for examples.

    I got curious after announcement of the 70+ High Protein recipes in 10 Mins, so I wanted to check out, if I could implement them into a weekly diet order.

    But that didn´t work. In combination for most people with body-comp goals and less time it would be beneficial to have a… more

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    0 comments  ·  Meal Planner (in-app)  ·  Edit…  ·  Delete…  ·  Admin →
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18. Generate Meal Plans using a selection of Trainerize and Custom Recipe that meet macros

    Some wonderful recipes in the library from you guys but many customers complain about the complexity of a fair proportion. What would be ideal is if we can select from both our own custom library and your meals to be used on our instance of the platform, so it can be our own custom meals and a selection of the meals we feel fits our client base and philosphy.

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19. weekly automated check-in

    I would love to have a weekly automated check-in feature in Trainerize, scheduled on a specific day (e.g. every Sunday). The system should:

    Send clients a notification or message with a link to the check-in.

    Include customizable questions on training, nutrition, sleep, stress, habits, and goals.

    Allow both quick multiple-choice/scale answers and open-text responses.

    Automatically log responses so coaches can track weekly trends and progress over time.

    This would help clients reflect regularly, stay accountable, and set clear goals for the upcoming week — while saving coaches time on manual follow-up.

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    0 comments  ·  Client Progress Reports  ·  Delete…  ·  Admin →
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20. Customize Habits to occur not just weekly but customized time frames

    Customize Habits to occur not just weekly but customized time frames. For our clients, it would be extremely helpful if we could customize certain habits to occur every 2 weeks or even once a month instead of only every week. I think we would be able to assign more customizable habits to each client depending on their goals.

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    0 comments  ·  Goals, Habits and Wellness  ·  Edit…  ·  Delete…  ·  Admin →
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