< Inspiration >

Many people suffer from chronic diseases, like diabetes, and need to have precise nutrients intake. User can check the nutrients values of food with SilverNeedle by taking photos of their meal.

< What it does >

SilverNeedle aims to help users to monitor the health conditions through a simple act of snapping the food before eating to check the daily intake of nutritional values. It will not only track the amount of nutrients, but also provide suggestions such as maximum intake.

< How I built it >

SilverNeedle is an app identifying the food in the photo taken by Microsoft computer vision API. The content is then inputted into USDA food compositions databases to generate nutrients report.

< Challenges I ran into >

The range and accuracy of the analysation of content are limited by the amount of images inputted during machine learning. The prototype of SilverNeedle lacks a comprehensive image database for analysation.

< Accomplishments that I'm proud of >

Our team can challenge ourselves to learn and adopt a new technology tool into our daily life application within a short period of time.

< What I learned >

Small things can make a great change. At most of our time, we do not pay attention to small things in our lives, however, if we think out of the box, we will be surprised. Just like our project, it is simple, but it means a lot to the society by improving the health conditions.

< What's next for SilverNeedle >

Our urban health is being challenged by various factors such as food security, urban governance and natural and built environment. We hope that SilverNeedle can be contributed to improve this situation by helping doctors to monitor the health conditions in the future. Moreover, with the enrichment of database of the, we are aiming that SilverNeedle can be used by everyone to check their daily intake of nutrients in order to maintain a healthy body.

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