{"id":1637,"date":"2026-10-21T14:17:53","date_gmt":"2026-10-21T14:17:53","guid":{"rendered":"https:\/\/www.fitcart.com\/blog\/?p=1637"},"modified":"2026-10-21T14:17:53","modified_gmt":"2026-10-21T14:17:53","slug":"ai-nutrition-coaches-smarter-eating-or-digital-guesswork","status":"publish","type":"post","link":"https:\/\/www.fitcart.com\/blog\/ai-nutrition-coaches-smarter-eating-or-digital-guesswork\/","title":{"rendered":"AI Nutrition Coaches: Smarter Eating or Digital Guesswork?"},"content":{"rendered":"\n<p><strong>How artificial intelligence is changing food tracking, personalised nutrition and wellness \u2014 and why human judgement still matters.<\/strong><\/p>\n\n\n\n<p class=\"has-luminous-vivid-orange-color has-text-color has-link-color has-medium-font-size wp-elements-a0c13a3dce454f92389cac84452ee181\"><strong><em>Reading time: 9\u201311 minutes.<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-luminous-vivid-orange-color has-text-color has-link-color has-medium-font-size wp-elements-f4bb627079a624df47dcf984f4cfe1cf\"><strong><em>Author: Ritu Makhija.<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-luminous-vivid-orange-color has-text-color has-link-color has-medium-font-size wp-elements-f862a12291cbc2daee7276a316daf196\"><strong><em>Co-Founder, <\/em><\/strong><a href=\"https:\/\/www.fitcart.com\/\"><strong><em>Fitcart.com<\/em><\/strong><\/a><strong><em>.<\/em><\/strong><\/p>\n\n\n\n<p class=\"has-luminous-vivid-orange-color has-text-color has-link-color has-medium-font-size wp-elements-54262163269a52b50ced5364f3184621\"><strong><em>Head of Editorial Team, Fitcart Blog.<\/em><\/strong><\/p>\n\n\n\n<p><strong>Introduction: Can Artificial Intelligence Improve the Way We Eat?<\/strong><\/p>\n\n\n\n<p>Imagine taking a photograph of your lunch and receiving an estimate of its calories, protein, carbohydrates, fats and fibre within seconds.<\/p>\n\n\n\n<p>Or asking a digital nutrition coach to suggest a high-protein vegetarian meal, create a weekly menu around your budget or help organise meals around your exercise schedule.<\/p>\n\n\n\n<p>These capabilities are becoming increasingly familiar as artificial intelligence (AI) enters nutrition and wellness.<\/p>\n\n\n\n<p>AI-powered tools can help users record meals, identify patterns, generate recipes and organise dietary information. Some systems also combine food logs with wearable data, activity levels or other inputs to offer more personalised suggestions.<\/p>\n\n\n\n<p>This creates exciting opportunities for making nutrition information more accessible.<\/p>\n\n\n\n<p>But there is an important distinction between generating a plausible nutrition recommendation and delivering advice that is accurate, safe and genuinely beneficial.<\/p>\n\n\n\n<p>AI can misidentify ingredients, misjudge portion sizes, overlook medical considerations and produce recommendations that sound convincing but are not supported by evidence.<\/p>\n\n\n\n<p>At Fitcart, we see AI as a potentially useful tool for nutrition education and organisation \u2014 provided it is used alongside reliable scientific information, individual judgement and appropriate professional guidance.<\/p>\n\n\n\n<p><strong>1. What Is an AI Nutrition Coach?<\/strong><\/p>\n\n\n\n<p><strong><em>An AI nutrition coach is a digital tool that uses artificial intelligence to help with tasks such as food tracking, meal planning, nutritional analysis or general dietary guidance.<\/em><\/strong><\/p>\n\n\n\n<p>Depending on the system, it may use food databases, image recognition, machine learning or conversational AI to interpret information supplied by the user.<\/p>\n\n\n\n<p>Common functions include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Estimating food portions and nutritional content from photographs.<\/strong><\/li>\n\n\n\n<li><strong>Suggesting recipes based on dietary preferences.<\/strong><\/li>\n\n\n\n<li><strong>Helping organise meals and shopping lists.<\/strong><\/li>\n\n\n\n<li><strong>Summarising food diaries and identifying possible dietary gaps.<\/strong><\/li>\n\n\n\n<li><strong>Supporting habit tracking and goal setting.<\/strong><\/li>\n\n\n\n<li><strong>Generating general information about nutrition and exercise.<\/strong><\/li>\n<\/ul>\n\n\n\n<p>More advanced systems may combine multiple sources of information to tailor suggestions.<\/p>\n\n\n\n<p>However, the quality of the advice depends on the accuracy of the input data, the underlying food database, the system&#8217;s design, and whether the recommendation has been appropriately validated.<\/p>\n\n\n\n<p>An AI tool should not be assumed to function like a registered dietitian or clinician simply because it uses conversational language.<\/p>\n\n\n\n<p><strong>2. Can AI Accurately Estimate Calories and Nutrients From a Food Photograph?<\/strong><\/p>\n\n\n\n<p>One of the most appealing uses of AI is the ability to photograph a meal and obtain an estimated nutritional breakdown.<\/p>\n\n\n\n<p>This may make food logging more convenient, especially for people who find manual tracking tedious.<\/p>\n\n\n\n<p>However, photographs cannot reliably reveal everything that determines a meal&#8217;s nutritional content.<\/p>\n\n\n\n<p>Consider a photograph of a bowl of rice, vegetables, and curry. The image may not reveal:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The exact portion size or weight.<\/li>\n\n\n\n<li>The amount of oil used in cooking.<\/li>\n\n\n\n<li>The precise ingredients in the sauce.<\/li>\n\n\n\n<li>The quantity of added sugar, salt or butter.<\/li>\n\n\n\n<li>Whether the recipe differs from a standard database entry.<\/li>\n<\/ul>\n\n\n\n<p>Two visually similar meals may therefore have substantially different nutritional values.<\/p>\n\n\n\n<p>A systematic review published in the British Journal of Nutrition in 2025 assessed AI-based dietary intake estimation methods. It found promising results in some studies, but also identified limitations involving validation, study design and the evidence base.<\/p>\n\n\n\n<p>The review included 13 studies, many of which were conducted in preclinical settings, highlighting the need for more robust evaluation across real-world populations.<\/p>\n\n\n\n<p>AI food tracking can therefore be useful for approximate estimates and identifying broad patterns. It should not be treated as a precise measurement of calorie or micronutrient intake.<\/p>\n\n\n\n<p>For most everyday users, consistency and awareness may be more valuable than assuming that every number is exact.<\/p>\n\n\n\n<p><strong>3. Personalised Nutrition: Can AI Build a Diet Just for You?<\/strong><\/p>\n\n\n\n<p>AI systems can generate meal suggestions based on information such as dietary preferences, activity, goals, food availability and budget.<\/p>\n\n\n\n<p>For example, a user might request a vegetarian meal plan with adequate protein, or ask for practical options that fit a busy working schedule.<\/p>\n\n\n\n<p>This can reduce the effort involved in planning meals and help users explore foods they might not otherwise consider.<\/p>\n\n\n\n<p>However, genuine precision nutrition requires more than a long list of personal details.<\/p>\n\n\n\n<p>A responsible approach may need to consider:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><em>Age and life stage.<\/em><\/strong><\/li>\n\n\n\n<li><strong><em>Dietary patterns and cultural preferences.<\/em><\/strong><\/li>\n\n\n\n<li><strong><em>Activity level and training goals.<\/em><\/strong><\/li>\n\n\n\n<li><strong><em>Medical history and relevant medication.<\/em><\/strong><\/li>\n\n\n\n<li><strong><em>Allergies and intolerances.<\/em><\/strong><\/li>\n\n\n\n<li><strong><em>Nutritional adequacy and the sustainability of the plan.<\/em><\/strong><\/li>\n\n\n\n<li><strong><em>Appropriate clinical findings when relevant.<\/em><\/strong><\/li>\n<\/ul>\n\n\n\n<p>AI may help organise this information, but it can still overlook important details or make recommendations based on incomplete or incorrect assumptions.<\/p>\n\n\n\n<p>Personalised nutrition is most useful when recommendations are practical, evidence-based and reviewed in the context of an individual&#8217;s actual needs.<\/p>\n\n\n\n<p>Not everyone requires genetic testing, extensive blood panels or sophisticated algorithms to eat well.<\/p>\n\n\n\n<p><strong>4. AI Meal Plans: Convenient, But Are They Nutritionally Balanced?<\/strong><\/p>\n\n\n\n<p>An AI-generated meal plan can be a helpful starting point, particularly for people who need ideas, variety or structure.<\/p>\n\n\n\n<p>For example, a user might request a week&#8217;s worth of meals containing vegetables, whole grains, legumes and suitable protein sources.<\/p>\n\n\n\n<p>The result may provide a useful framework. But the plan still needs to be checked.<\/p>\n\n\n\n<p>Does it provide sufficient energy? Is the protein intake appropriate? Are essential nutrients adequately represented? Does it fit the person&#8217;s budget, preferences, cooking facilities and schedule?<\/p>\n\n\n\n<p>A meal plan that looks balanced on paper may not meet an individual&#8217;s requirements or be practical to follow.<\/p>\n\n\n\n<p>AI can also repeat common nutrition myths or recommend unnecessary restrictions if its instructions or underlying information are poor.<\/p>\n\n\n\n<p>Use generated meal plans as drafts. Check ingredient quantities, vary food choices and seek qualified guidance when dietary changes are intended to manage a medical condition.<\/p>\n\n\n\n<p><strong>5. AI and Sports Nutrition: Could It Help Athletes Train Smarter?<\/strong><\/p>\n\n\n\n<p>Sports nutrition involves matching food, fluid and recovery strategies to training demands.<\/p>\n\n\n\n<p>AI tools may help athletes organise meal schedules, record training sessions, estimate dietary intake and prepare questions for a sports nutrition professional.<\/p>\n\n\n\n<p>For example, a recreational runner could use a digital tool to organise meals around training days, while a strength-training enthusiast might use one to monitor whether meals regularly include protein-rich foods.<\/p>\n\n\n\n<p>However, performance nutrition is highly individual.<\/p>\n\n\n\n<p>Training volume, competition schedules, environmental conditions, gastrointestinal tolerance, energy availability, recovery and personal health can all influence requirements.<\/p>\n\n\n\n<p>A generic AI-generated recommendation may fail to account for these factors.<\/p>\n\n\n\n<p>Athletes should also be cautious about recommendations for supplements. A digital tool may identify a popular product without adequately assessing the strength of evidence, appropriate dosing, interactions or contamination risks.<\/p>\n\n\n\n<p>AI should not be used as the sole basis for a competition supplement strategy or as a substitute for a qualified sports dietitian or healthcare professional when specialist guidance is needed.<\/p>\n\n\n\n<p><strong>6. AI, Wearables and the Future of Wellness<\/strong><\/p>\n\n\n\n<p>The next stage of digital nutrition may involve combining food records with wearable data, sleep patterns, activity levels and selected health measurements.<\/p>\n\n\n\n<p>In principle, these systems could help users recognise patterns \u2014 for example, whether a consistent sleep schedule makes it easier to maintain exercise habits, or whether meal planning helps improve dietary consistency.<\/p>\n\n\n\n<p>However, correlation does not establish cause and effect.<\/p>\n\n\n\n<p>If a wearable reports poor sleep on the same days that a person eats differently, that does not necessarily mean one caused the other. Consumer devices can also produce estimates that differ from clinical measurements.<\/p>\n\n\n\n<p>Continuous glucose monitors have attracted attention as tools for understanding responses to meals. They have established uses in diabetes management, but the value of routine use in people without diabetes for improving long-term health remains uncertain.<\/p>\n\n\n\n<p>AI systems should not turn ordinary biological variation into a reason for anxiety or unnecessary dietary restriction.<\/p>\n\n\n\n<p>The most useful technology is technology that helps people make sound decisions without encouraging them to obsess over every measurement.<\/p>\n\n\n\n<p><strong>7. AI Nutrition Advice and Health Risks: What Should You Watch For?<\/strong><\/p>\n\n\n\n<p>AI can produce fluent, confident answers even when the information is incomplete or incorrect.<\/p>\n\n\n\n<p>This is particularly important in nutrition, where individual circumstances can substantially change what advice is appropriate.<\/p>\n\n\n\n<p>Be cautious if a digital tool:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Promises rapid or guaranteed weight loss.<\/li>\n\n\n\n<li>Recommends extreme calorie restriction.<\/li>\n\n\n\n<li>Suggests eliminating entire food groups without a sound reason.<\/li>\n\n\n\n<li>Diagnoses a nutrient deficiency from symptoms alone.<\/li>\n\n\n\n<li>Recommends high-dose supplements without considering risks.<\/li>\n\n\n\n<li>Claims that a food or supplement cures a disease.<\/li>\n\n\n\n<li>Ignores medication, allergies, pregnancy or a relevant health condition.<\/li>\n\n\n\n<li>Presents an estimated calorie count as an exact measurement.<\/li>\n<\/ul>\n\n\n\n<p>A systematic review published in Nutrition Research in 2025 examined generative AI in nutritional science. It highlighted the potential of chatbots while noting difficulties with complex cases and inconsistencies in research methods.<\/p>\n\n\n\n<p>This is an important reminder: an answer that sounds scientific is not necessarily reliable.<\/p>\n\n\n\n<p>For medical nutrition therapy, eating disorders, significant unexplained weight changes, food allergies, pregnancy-related nutrition or chronic disease management, seek qualified professional care rather than relying solely on a chatbot.<\/p>\n\n\n\n<p><strong>8. How to Use an AI Nutrition Coach More Effectively<\/strong><\/p>\n\n\n\n<p>AI can be more useful when users give clear instructions, verify important information and treat the output as a starting point rather than a final authority.<\/p>\n\n\n\n<p><strong>Step 1: Define your goal<\/strong><\/p>\n\n\n\n<p>Be specific. Are you looking for meal ideas, a shopping list, a way to improve dietary variety or help organising meals around exercise?<\/p>\n\n\n\n<p><strong>Step 2: Provide relevant context<\/strong><\/p>\n\n\n\n<p>Include practical information such as dietary preferences, foods you avoid, budget, cooking time and activity level. Do not share sensitive health information unless necessary and appropriate for the tool.<\/p>\n\n\n\n<p><strong>Step 3: Ask for evidence-aware recommendations<\/strong><\/p>\n\n\n\n<p>Ask the system to distinguish established guidance from uncertain evidence, and to flag when advice requires a qualified professional.<\/p>\n\n\n\n<p><strong>Step 4: Verify the important details<\/strong><\/p>\n\n\n\n<p>Check portion sizes, ingredient quantities, nutrient estimates and supplement claims against reliable sources or professional guidance.<\/p>\n\n\n\n<p><strong>Step 5: Keep the plan realistic<\/strong><\/p>\n\n\n\n<p>A simple plan that fits your routine is often more useful than an elaborate programme that is difficult to maintain.<\/p>\n\n\n\n<p><strong>Step 6: Monitor meaningful outcomes<\/strong><\/p>\n\n\n\n<p>Depending on your goal, consider dietary consistency, exercise performance, energy levels, strength or clinically relevant measures recommended by your healthcare professional.<\/p>\n\n\n\n<p>Avoid making major dietary changes based solely on a single AI-generated prediction.<\/p>\n\n\n\n<p><strong>9. What AI Cannot Replace: Nutrition Fundamentals and Human Judgement<\/strong><\/p>\n\n\n\n<p>Technology can help make nutrition information more accessible, but it cannot remove the need for sound nutritional principles.<\/p>\n\n\n\n<p>Most people benefit from building meals around a variety of nutrient-rich foods, obtaining adequate protein and fibre, maintaining appropriate hydration and matching food intake to their needs and activity.<\/p>\n\n\n\n<p>Regular exercise and sufficient sleep remain important parts of a healthy lifestyle.<\/p>\n\n\n\n<p>Supplements may be appropriate when there is a specific nutritional shortfall, a recognised indication or credible evidence supporting a particular use. They should not be recommended automatically because an algorithm identifies a possible gap in a food diary.<\/p>\n\n\n\n<p>AI may also struggle to recognise when a symptom requires medical evaluation rather than a dietary adjustment.<\/p>\n\n\n\n<p>Human judgement matters because health is more than data. It includes medical context, individual preferences, affordability, behaviour and the ability to sustain change.<\/p>\n\n\n\n<p><strong>10. The Fitcart Approach: Combine Technology With Science and Supplement Quality<\/strong><\/p>\n\n\n\n<p>At Fitcart, AI and digital nutrition tools can be viewed as useful additions to a broader evidence-based approach to wellness.<\/p>\n\n\n\n<p>Technology can help users organise information and identify questions to explore. Reliable nutrition education can help them understand the foundations of a balanced diet. Qualified professionals can provide individualised guidance when medical or specialist needs arise.<\/p>\n\n\n\n<p>When supplements are considered, the same evidence-led approach applies.<\/p>\n\n\n\n<p>Before selecting a product, establish the goal, examine the evidence for the ingredient and dose, consider potential interactions and assess whether supplementation is appropriate.<\/p>\n\n\n\n<p>Quality matters too. Look for transparent labels, clearly stated ingredient quantities and credible manufacturing practices. Independent testing and certification can provide reassurance about specific quality attributes.<\/p>\n\n\n\n<p>For athletes, relevant sports supplement testing can help reduce the risk of prohibited-substance contamination. Where batch-level verification is available, check the exact product and batch or lot number in the relevant certifier&#8217;s database.<\/p>\n\n\n\n<p>No algorithm, certification or product label can guarantee that a supplement is effective or completely risk-free.<\/p>\n\n\n\n<p>The best digital wellness experience is one that supports informed decisions rather than automatically generating more products to buy.<\/p>\n\n\n\n<p><strong>The <\/strong><a href=\"https:\/\/www.fitcart.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Fitcart<\/strong><\/a><strong> <\/strong><strong>Takeaway: Smarter Tools, Better Questions and Evidence-Based Choices<\/strong><\/p>\n\n\n\n<p>AI nutrition coaches offer exciting possibilities. They can help with meal planning, food tracking, recipe ideas and organising everyday wellness routines.<\/p>\n\n\n\n<p>But their recommendations are only as useful as their data, validation and ability to account for individual circumstances.<\/p>\n\n\n\n<p>Food photographs cannot always reveal exact portions or ingredients. A generated meal plan may overlook important nutritional needs. A supplement recommendation may sound convincing without being supported by appropriate evidence.<\/p>\n\n\n\n<p>Use AI to save time, explore ideas and organise information \u2014 then verify what matters.<\/p>\n\n\n\n<p>At Fitcart, we believe the future of nutrition should combine useful technology with scientific evidence, practical training advice, balanced nutrition and responsible supplementation.<\/p>\n\n\n\n<p><strong>The goal is not to let an algorithm decide what you should eat. It is to use technology to make better-informed choices about your health.<\/strong><\/p>\n\n\n\n<p><strong><em>Health and Supplement Disclaimer<\/em><\/strong><\/p>\n\n\n\n<p><em>This article is intended for general educational and informational purposes only. It is not medical advice and should not be used to diagnose, treat, or prevent disease.<\/em><\/p>\n\n\n\n<p><em>AI-generated dietary information may be inaccurate, incomplete, or unsuitable for an individual&#8217;s circumstances. Verify important nutrition information and seek qualified professional advice when needed, particularly for medical conditions, food allergies, pregnancy, eating disorders, unexplained symptoms or prescribed dietary management.<\/em><\/p>\n\n\n\n<p><em>Do not start, stop, or change medication, or begin high-dose supplementation, solely based on an AI recommendation. Supplement requirements and safety depend on individual circumstances, ingredients, doses, and potential interactions.<\/em><\/p>\n\n\n\n<p><em>Choose supplements from reputable sources, review labels and follow recommended directions. Independent testing or certification may help verify specific quality attributes, but cannot guarantee effectiveness or eliminate all risk. Athletes should verify relevant sports certification and batch information where available.<\/em><\/p>\n\n\n\n<p><em>Fitcart encourages evidence-based nutrition, responsible use of technology, transparent product information, and appropriate professional guidance. Individual results may vary.<\/em><\/p>\n\n\n\n<p><strong>References and Further Reading<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><em>Cofre S, et al. Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review. British Journal of Nutrition. 2025;133(9):1241\u20131253.<\/em><\/li>\n\n\n\n<li><em>Hieronimus B, et al. GenAI in nutritional sciences (GAINS): A systematic review and reporting framework for future research. Nutrition Research. 2025;143:66\u201377.<\/em><\/li>\n\n\n\n<li><em>Artificial Intelligence\/Machine Learning\u2013Enabled Precision Nutrition Modestly Improves Anthropometric Outcomes and Systolic Blood Pressure: A Systematic Review and Meta-analysis. The Journal of Nutrition. 2026.<\/em><\/li>\n<\/ol>\n\n\n\n<p>These publications examine the developing evidence base for AI-assisted dietary assessment and nutritional guidance. They do not establish that every AI nutrition tool improves health outcomes or is suitable for every individual.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.fitcart.com\/trusted-health\"><strong>Fitcart Trusted Health<\/strong><\/a><\/p>\n\n\n\n<p><em>Follow us on <\/em><strong><em>X: <\/em><\/strong><a href=\"https:\/\/x.com\/fitcartofficial\"><strong><em>https:\/\/x.com\/fitcartofficial<\/em><\/strong><\/a> <em>and <\/em><strong><em>Instagram: <\/em><\/strong><a href=\"https:\/\/www.instagram.com\/fitcartofficial\/\"><strong><em>https:\/\/www.instagram.com\/fitcartofficial\/<\/em><\/strong><\/a> <em>for the latest updates, health insights, and exclusive content.<\/em><\/p>\n\n\n\n<p><em>Follow <\/em><strong><em>Smart Nutrition India X: <\/em><\/strong><a href=\"https:\/\/x.com\/SmartNutrition1\"><strong><em>https:\/\/x.com\/SmartNutrition1<\/em><\/strong><\/a> <em>and <\/em><strong><em>Instagram: <\/em><\/strong><a href=\"https:\/\/www.instagram.com\/smartnutritionindia\/\"><strong><em>https:\/\/www.instagram.com\/smartnutritionindia\/<\/em><\/strong><\/a> <em>for trusted sports nutrition, supplement education, wellness tips, and the latest news from the world of health and performance.<\/em><\/p>\n\n\n\n<p><strong>Fitcart believes in True Play and Clean Sport<\/strong><\/p>\n\n\n\n<p class=\"has-black-color has-pale-ocean-gradient-background has-text-color has-background has-link-color wp-elements-be76ad7e252871eee76a9eef7ebe4af8\"><strong>#trustedbrandsbetterhealth<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How artificial intelligence is changing food tracking, personalised nutrition and wellness \u2014 and why human judgement still matters. Reading time: 9\u201311 minutes. Author: Ritu Makhija. Co-Founder, Fitcart.com. Head of Editorial Team, Fitcart Blog. Introduction: Can Artificial Intelligence Improve the Way We Eat? Imagine taking a photograph of your lunch and receiving an estimate of its [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1638,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2835,2644,2529,2699],"tags":[2942,1480,1476,2656,2946,2670,2940,2948,2944,2044,2941,2725,2947,2836,2943,2657,605,125,2945,612,295],"class_list":["post-1637","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nutrition-wellness","category-precision-health","category-supplements","category-technology-health","tag-ai-calorie-tracking","tag-ai-meal-planning","tag-ai-nutrition","tag-ai-nutrition-coach","tag-ai-supplement-advice","tag-artificial-intelligence","tag-artificial-intelligence-in-nutrition","tag-calorie-tracking","tag-digital-wellness","tag-evidence-based-nutrition-2","tag-food-image-recognition","tag-health-technology","tag-meal-planning","tag-nutrition-wellness","tag-nutrition-apps","tag-personalised-nutrition","tag-precision-nutrition","tag-sports-nutrition","tag-sports-nutrition-technology","tag-supplement-safety","tag-supplements"],"_links":{"self":[{"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/posts\/1637","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/comments?post=1637"}],"version-history":[{"count":1,"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/posts\/1637\/revisions"}],"predecessor-version":[{"id":1639,"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/posts\/1637\/revisions\/1639"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/media\/1638"}],"wp:attachment":[{"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/media?parent=1637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/categories?post=1637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fitcart.com\/blog\/wp-json\/wp\/v2\/tags?post=1637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}