Tons of fruit got rotten every day in our refrigerators
While 821 million people are hungry worldwide
Avoid waste is a good way to make life better
Moreover
Unhealthy diet may do harm to our body
Our smart refrigerator can make recommendation about fruit recipes
Thus help people stay in good health
While 821 million people are hungry worldwide
Avoid waste is a good way to make life better
Moreover
Unhealthy diet may do harm to our body
Our smart refrigerator can make recommendation about fruit recipes
Thus help people stay in good health
Unhealthy Eating HabitGood nutrition, based on healthy eating is one essential factor that helps us to stay healthy and be active. Poor eating habits include under, or over-eating, not having enough of the healthy foods we need each day, or consuming too many types of food and drink, which are low in fibre or high in fat, salt and/or sugar. Poor nutrition can impair our daily health and wellbeing and reduce our ability to lead an enjoyable and active life. Our smart refrigerator can do recipe recommendation based on historical data to help people keep in good health. |
Food Wasting Tons of fruit got rotten every day and they are thrown into the trash. Our application stores all the information about the items in the refrigerator, when the system consider if there is some food that will no longer nourishing in a few days, it would send a reminder to the user that they should eat them to prevent waste. More than 821 million people are hungry worldwide, food wasting can not be ignored. |
We used camera to take pictures of fruits
Trained Convolutional Neural Networks to recognize the fruits
Classified the fruit on EC2, and sent fruit type and the expected expire time to database
Sent notifications when the foods are about to go bad
Did recipe recommendation based on historical data
Built an mobile app to enable user to use our facility much easier
Trained Convolutional Neural Networks to recognize the fruits
Classified the fruit on EC2, and sent fruit type and the expected expire time to database
Sent notifications when the foods are about to go bad
Did recipe recommendation based on historical data
Built an mobile app to enable user to use our facility much easier
Our team
Jiaqi LiuJiaqi Liu (jl5213)
M.S. in Electrical Engineering jl5213@columbia.edu www.linkedin.com/in/jiaqiliu13/ |
Tingyu LiTingyu Li (tl2861)
M.S. in Electrical Engineering tingyu.li@columbia.edu https://www.linkedin.com/in/tingyuli96/ |
Yuanyuan Yao
Yuanyuan Yao (yy2862)
M.S. in electrical Engineering [email protected] www.linkedin.com/in/yuanyuan-yao |