http://www.iaeme.com/IJECET/index.asp 47 editor@iaeme.com International Journal of Electronics and Communication Engineering and Technology (IJECET) Volume 9, Issue 3, July-August 2018, pp. 47–52, Article ID: IJECET_09_04_005 Available online at http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=9&IType=4 ISSN Print: 0976-6464 and ISSN Online: 0976-6472 © IAEME Publication SMART JAR: AI TECHNOLOGY BASED GROCERY SHOPPING Sanket Agarwal and Biteshnath Tiwari Senior Design Engineer, Department of Electrical and Automation, Larsen and Toubro, Mysore, India Vineet Agarwal Student, Department of Information Technology, Terna Engineering College, Mumbai University, Mumbai, India ABSTRACT As per the Regional Human Development Report of the United Nations Development Programme (UNDP) on April 26, 2016, India’s working population between the ages of 15-64 will rise above 1 billion by 2050. Working in a professionally driven environment is highly cumbersome at times; especially, when the individual is surrounded with the office and household responsibilities. Household responsibilities include various things such as taking care of the grocery stocks, paying various bills on time and other basic daily chores. While fulfilling official duties, it is common for the working individual to be oblivious to his household responsibility. While it is difficult to take care of others’ professional work, domestic work can be easily taken care. Through this project, we intend to reduce the significant amount of time devoted by people on replenishing their groceries by providing them with the concept of ’Smart jar’. Apart from refilling the items, through the A.I. model this project not only selects the desired quality, but also a type of delivery based on an individual’s buying pattern at the least possible price. This new concept can be a revolutionary as it intends for a paradigm shift in the conventional grocery shopping technique. Keywords: Piezoelectric, Ultrasonic, Smart Jar, Neural Networks, Training, Epoch, GPRS and Levenberg-Marquardt algorithm. Cite this Article: Sanket Agarwal, Biteshnath Tiwari and Vineet Agarwal, Smart Jar: Ai Technology Based Grocery Shopping. International Journal of Electronics and Communication Engineering and Technology, 9(4), 2018, pp. 47–52 http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=9&IType=4 1. INTRODUCTION According to the Time Use Institute, the average shopping trip takes 41 minutes. If you multiply that by the 1.5-trip per week average, that’s over 53 hours per year you’re spending in the grocery store. Due to the unavoidable rush on weekends, this same time increases by 17%. This spurge on weekends is mostly due to the salaried class spending their valuable