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Vita AI: GLP-1 Assistant

Vita AI: GLP-1 Assistant

Blitzbuild Software

Health & Fitness免費v3.0.1
App Store
評分

5.0

14 則評分

星級

★★★★★

最近更新

2026年5月11日

發佈日期

2025年12月16日

更新內容

v3.0.1

New in version 3.0.1: • Improved medication logging • Improved symptom tracking • Added medication reminder notifications • Updated UI for a cleaner and more intuitive experience This release also includes general bug fixes and performance improvements.

應用資訊

開發者
Blitzbuild Software
分類
Health & Fitness
價格
免費
版本
3.0.1
App ID
6748570255

簡介

Vita AI is your GLP-1 assistant for food, medication, symptoms, and progress tracking. Know what to eat, stay consistent with your routine, and better understand how your meals, medication, symptoms, and weight connect over time. Use Vita AI to: • Scan barcodes and analyze food photos • Chat with AI for personalized GLP-1 guidance • Log meals, symptoms, medications, and weight • View your history in a simple calendar • Track trends over time and stay on top of your routine Vita helps you make everyday decisions with more confidence. Quickly check whether a food fits your goals, discover better options, and build meals that better support protein intake, fullness, and overall progress on GLP-1. You can also track symptoms, medications, weight, sleep, exercise, and habits in one place. See patterns over time, review your daily logs, and generate simple summaries that help you stay organized and support more informed conversations with healthcare professionals. Vita also includes reminders, guided check-ins, and a progress system designed to help you stay consistent with healthy habits. Vita is not a medical device and does not provide medical diagnosis or treatment. Always consult a qualified healthcare professional before making medical decisions. Privacy Policy: https://www.myvita.health/privacy Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下載量預測

專業 · 預覽

預估總下載量

1K9332K
保守估計樂觀估計

187

低 / 月

255

預估 / 月

400

高 / 月

基於14 則評分
假設評分率1.1%
應用年齡5 個月

基於評分數量 ÷ 類別評分率估算,實際下載量誤差可達 ±50%。