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An AI driven approach for Smart refrigerator to enhance family diet and sustainability

EasyChair Preprint no. 1867

7 pagesDate: November 7, 2019


With smart homes changing the way of life of people a smart refrigerator is an addition to this family. The fast pace of our life has led to an alarming consumption of junk food, expired products or vegetables at homes. In this paper we are introducing a novel concept of a smart refrigerator which is content aware and focuses on personalization for each of its users which in the long-term would help to tackle the problem of waste management effectively. It is an AI-driven solution aiming at resolving the problems faced by the current generation and also has various other salient features like health data analysis, framing nutrient plans, recipes, dishes etc. Various sensors like cameras, bar code scanners and weight gauge help to calculate the nutrients present.AI and ML continuously evolves and adapts helping to better understand the users taste and preference. Analysis of the consumption pattern leading to generation of a what all are to be bought and in what quantity. This would lead to healthier homes and a healthier planet.

Keyphrases: Artificial Intelligence, Barcode Scanners, Cameras, machine learning, smart refrigerator

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ananda Kumar J Naveen and Shivani Suresh and Kannika Nirai Vaani},
  title = {An AI driven approach for Smart refrigerator to enhance family diet and sustainability},
  howpublished = {EasyChair Preprint no. 1867},

  year = {EasyChair, 2019}}
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