ONAHN Michelle

ONAHN MICHELLE® allows users to scan their meals using their smartphone camera. 

ONAHN MICHELLE® automatically identifies the ingredients in the food and analyzes them in detail. 

Based on the user’s health condition, dietary needs, or preferences, ONAHN MICHELLE®  provides personalized insights and recommendations to help users make healthier food choices tailored to their health conditions. This makes it easier to understand what they are eating and how it may affect their overall health. 

ONAHN MICHELLE® uses AI meal-scanning technology to identify food ingredients through image analysis. After detecting the ingredients, the app evaluates them according to the user’s health condition, dietary requirements, and nutritional goals. Personalized feedback and recommendations are then generated to help users make informed and health-conscious food choices. 

With ONAHN MICHELLE® you can: 
- Customize your health preferences: Input your eating style, select your food preferences, any dietary restrictions, or disliked ingredients. 
- Scan your meal with AI, scan the barcode, or search manually to identify the food and its ingredients. 
- Get personalized food insight: Explore the plates which are suggested to you according to your health and diet preferences. 
- Receive personalized feedback to see how the meal matches your health profile 
- Determine your health score based on your daily diet. 
- Integrate your health data into the app to receive healthier meal recommendations and personalized nutrition insights. 

ONAHN MICHELLE® is here to enhance your food choices and to guide you to find your best lifestyle. 

Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

ONAHN Michelle uses Google Gemini 2.0 Flash / 2.5 Flash Live for meal scanning and recommendations as well as for voice based interactions. For these features, the app may share meal photos, barcode values, manual food entries, serving size, nutrition information, preferred language, and optional health-personalization data selected by the user. Optional health-personalization data may include HealthKit-derived nutrition and health tags such as glucose, blood pressure, sodium, cholesterol, fiber, fats, protein, carbohydrates, calories, water, vitamins, and minerals.