Smart Refrigerator with Recipe Assistance
Aishwarya Gadgil,
Vedija Jagtap and
Pooja Kulkarni
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Aishwarya Gadgil: Kashibai Navale College of Engineering, Department of Computing Engineering, Pune, India
Vedija Jagtap: Kashibai Navale College of Engineering, Department of Computing Engineering, Pune, India
Pooja Kulkarni: Kashibai Navale College of Engineering, Department of Computing Engineering, Pune, India
International Journal of Synthetic Emotions (IJSE), 2017, vol. 8, issue 2, 51-61
Abstract:
Internet of Things (IoT) will lead to a technological revolution that will change the way people live and interact with their surroundings. Intelligent appliances combined with multimedia capability have been emerging in everyone's life. Smart home is one of the prominent areas of intelligent advances. Kitchen is considered as the center of our house, where the refrigerator plays an important role. Smart Refrigerator with Recipe Assistance will help in automating the refrigerator. The authors propose a system that would track the stock of ingredients in the refrigerator with the help of RFID tags and load cells. According to the availability of ingredients a list of possible recipes is predicted and suggestions will be given to the user. Whenever an item is identified by a RFID tag, estimations on the usage of ingredients are made and we can get notifications about the scarce products. The system will also help in checking the availability of ingredients based on the recipe user wishes to cook. The time required by an individual for manually checking the availability of ingredients in the refrigerator and then thinking about what to cook is greatly reduced using this system. Most of the information is automatically generated using RFID tags. Once the user logins into the application he/ she will be suggested the possible list of recipes based on the availability. Human intellectual power then can be used for new creative processes rather than using it for routine chores.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jse000:v:8:y:2017:i:2:p:51-61
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