APP FOR PLACING ORDERS AND BARGAINING WITH AI AT A RESTAURANT
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.10, No. 1)Publication Date: 2019-01-31
Authors : Shounak Mulay Rushabh More Priyanka Wagh; Saroja T.V;
Page : 196-202
Keywords : Machine learning; Prediction; Android; Regression; Cloud;
Abstract
The proposed system attempts to implement various new technologies to an app for enabling users to place orders and bargain the prices with a machine learning powered bot. Such a system can provide new experience to the customers while increasing business profitability and efficiency with the help of collected data. This system comprises of 4 parts. The Android app at the frontend, and the database, natural language processing platform and the machine learning model to predict price as the backend deployed on the cloud. The app is designed with modular architecture pattern so that changes can be made easily to fit any business model. Since the predictions for bargaining are provided by a machine learning algorithm, the system performance and accuracy is likely to improve with additional data
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Last modified: 2019-03-05 22:39:21