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