Food Ordering System based on Human Computer Interaction and Machine Learning Techniques

  • Anmol Sajnani
  • Nirmal Patel
Keywords: Automatic Speech Recognition(ASR), Deep Learn- ing(DL), Machine Learning(ML), Natural Language Process- ing(NLP), Sentiment Analysis(SA), Text to Speech(TTS)

Abstract

There is a saying,”the best interface is no interface”. Many people consider voice interface as an  excellent approach  to communicate with computer system. In the following paper,  we are trying to build up a system which is based on Human Computer Interaction to put in an order for food in restaurants. People tend to go to a restaurant where service and convenience of the customer are given top priority. A major problem faced  by the customers in a restaurant is waiting for the staff to take the order, this is because during rush hours the availability of staff decreases. This mishap can be removed by implementing a Food ordering system, a device which is built using Raspberry   Pi 3; along with voice controlled interface, as presented in this paper. Techniques like Natural Language Processing, Rule-based system, Sentiment Analysis are used in the proposed system.

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Published
2020-03-26
How to Cite
Sajnani, A., & Patel, N. (2020). Food Ordering System based on Human Computer Interaction and Machine Learning Techniques. Asian Journal For Convergence In Technology (AJCT), 5(3), 56-62. Retrieved from http://www.asianssr.org/index.php/ajct/article/view/915