Glyco

Snap

VISUALIZE WELLNESS: TRANSFORMING PLATES INTO INSIGHTS!

An innovative solution that uses advanced image recognition technology to estimate the glycemic load of meals.

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About Us

GlycoSnap utilizes cutting-edge computer vision technology to assess the glycemic load of food portions. By simply taking or uploading a photo of their plate, GlycoSnap seamlessly analyzes visual data and users receive an accurate glycemic load calculation, helping them make informed dietary choices, promoting healthier lifestyles and improved well-being.

GlycoSnap Features

AI-assisted Glycemic Load Estimation
AI-assisted Glycemic Load Estimation

With the use of AI techniques such as computer vision and image analysis, GlycoSnap is able to predict the Glycemic Load of any food portion.

Dietary Recommendations
Dietary
Recommendations

Based on the glycemic load analysis, GlycoSnap offers personalized recommendations for portion control, meal planning, and healthier food choices.

Nutritionist Consultation
Nutritionist
Consultation

Provides users with the option to consult with certified nutritionists directly through GlycoSnap for personalized dietary advice and meal planning.

Community Support
Community
Support

A vibrant support platform where you can connect with friends and fellow users to share dietary experiences and tips. Our website also features articles, blogs and discussions.

How it works

GlycoSnap is incredibly user-friendly, making it easy for you to track your diet and nutrition with just a few taps.

Upload a picture

Simply snap or upload a photo of your plate, and our intelligent image recognition technology will analyze the content.

Glycemic load information

GlycoSnap automatically identifies the foods and provides you with their glycemic load information

Store your meals

Store your meal history and receive comprehensive weekly reviews to help you stay on track with your dietary goals.

Team Members

Matere Hans Walubengo

Computer Vision Expert

Joy Leila Kendi

Data Scientist

Kaigu Ann Wangari

Front-end Developer

Levi Mutugi Mutharimi

Back-end Developer

Zawadi Muthoni Kiarie

Machine Learning Engineer

In Collaboration With