{"id":52511,"date":"2026-04-29T09:20:14","date_gmt":"2026-04-29T01:20:14","guid":{"rendered":"https:\/\/www.1ai.net\/?p=52511"},"modified":"2026-04-28T16:23:27","modified_gmt":"2026-04-28T08:23:27","slug":"gainframe%ef%bc%9aai%e8%ba%ab%e4%bd%93%e6%88%90%e5%88%86%e5%88%86%e6%9e%90%e5%ba%94%e7%94%a8%ef%bc%8c%e9%80%9a%e8%bf%87%e7%85%a7%e7%89%87%e6%8f%90%e4%be%9b%e7%b2%be%e5%87%86%e4%bd%93%e8%84%82%e3%80%81","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/52511.html","title":{"rendered":"GainFrame: AI body composition analysis application, providing accurate lipids, 12 muscle scoring and individualized reports through photographs"},"content":{"rendered":"

\"96435cc7j00te739e003pd000me00f0p\"<\/p>\n

GainFrame<\/a> It's an artificial intelligence body component analysis application. It takes a self-portrait through a gymnasium and provides, within 60 seconds, detailed body data reports, including body scores, precise lipids, 12 muscle ratings and individualized training recommendations. The application is designed to help users to track physical changes, optimize their fitness programmes and replace expensive and infrequent traditional body scans\u3002<\/p>\n

GainFrame function<\/strong><\/span><\/h2>\n
    \n
  1. QUICK ANALYSIS OF THE BODY COMPOSITION OF AI: A SELF-PHOTO-PHOTO CAN BE OBTAINED IN 60 SECONDS WITH BODY SCORES, PRECISE LIPIDS, 12 MUSCLE RATINGS AND NEXT TRAINING MILESTONES\u3002<\/li>\n
  2. ACCURATE LIPID MEASUREMENT: CALCULATING BODY LIPID RATES IN COMBINATION WITH FRONT, SIDE AND BACK PHOTOGRAPHS UP TO WITHIN \u00b13% SCANNED BY DEXA\u3002<\/li>\n
  3. A detailed score of 12 muscular groups: 1-100 for 12 major muscular groups, with a text description for each muscle improvement\u3002<\/li>\n
  4. :: Personalized training milestones: each time a card is drawn to update the fitness trajectory and to provide personalized training focus and target muscle advice for the next two weeks\u3002<\/li>\n
  5. SMART NUTRIENT PROGRAM: AUTOMATICALLY ADJUST MACRONUTRIENT TARGETS FOR MUSCLE\/MAINTENANCE\/FAT REDUCTION AFTER EACH SCAN, BASED ON ACTUAL BODY COMPOSITION RATHER THAN THE UNIVERSAL BMR CALCULATOR\u3002<\/li>\n
  6. COMPREHENSIVE BODY REPORT: EACH PHOTO PRODUCES A FULL REPORT CONTAINING A SUMMARY OF BODY SCORES, BODY LIPIDS, BMI, FFMI, HIP RATIO AND CHANGES\u3002<\/li>\n
  7. Each scan is exclusive: each body scan is evaluated with 0-100 points, broken down into four dimensions of body lipid, muscle, ratio and goal alignment\u3002<\/li>\n
  8. Historical photo smart comparison: Any two photographs can be compared side by side or slide, with intelligence matching positions, showing changes in weight, lipid and fractions\u3002<\/li>\n
  9. Physical fitness habits tracking and stimulation: weekly cards can provide experience value, extend the win and unlock achievement levels and help users to develop fitness habits\u3002<\/li>\n
  10. Privacy Protection and Sharing: Photographs are processed locally only in the equipment, are not stored in clouds, and are embedded in vague facial and background removal functions to ensure privacy security\u3002<\/li>\n<\/ol>\n

    Official website link:https:\/\/gainframe.app<\/a><\/p>","protected":false},"excerpt":{"rendered":"

    GainFrame is an artificial intelligence body component analysis application. It takes a self-portrait through a gymnasium and provides, within 60 seconds, detailed body data reports, including body scores, precise lipids, 12 muscle ratings and individualized training advice. The application is designed to help users to track physical changes, optimize their fitness programmes and replace expensive and infrequent traditional body scans. GainFrame function AID rapid analysis of body composition: a self-photo-photo can be obtained in 60 seconds with body score, precise lipid, 12 muscle ratings and next training milestones. Accurate lipid measurement: Calculates the lipid rate in combination with the front, side and back photographs up to the accuracy of \u00b13% scanned by DEXA. 12 muscle groups: 1-100 points for 12 major muscle groups<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[140,141],"tags":[8487,8486],"collection":[],"class_list":["post-52511","post","type-post","status-publish","format-standard","hentry","category-qita","category-shangye","tag-ai","tag-gainframe"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/52511","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=52511"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/52511\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=52511"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=52511"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=52511"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=52511"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}