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- W4304166388 abstract "In real world applications, people can find number of recipes online. Here using facial analysis method, food recipes rating application is developed. Some recipes might be authentic and few recipes might not be authentic. The recipes which you are choosing to order will never be similar as the visualized one. The quality and taste differs based on the preparation. So here a system is proposed, in order to get right recipes with healthy and good taste. The user has to select the variety and post the reviews of recipes online. All the recipes are reviewed, commented and rated by the visitors of the certain regional foods. So the customers may choose correct recipes online. These food items are being sorted according to the comments which are received from the users by applying facial analysis approach using machine learning named as Haar Cascade algorithm for mining the data. Here machine learning approach is used in which machine learns and analyses the facial expressions and emotions which reveals through the review. As the reviews are usually high in numbers, the visitors ends up with spending lots of time for searching non-casual food grounded on the peoples who participated by submitting reviews. This design will sort food items found on the bottom of facial analysis which represents the emoticon of the critics. The results will be shown with the help of a mobile application. The administrator will add watchwords and emoticon which are pertinent to the recipes in this application. In this methodology the watchwords which are matching up in the comments submitted by the visited customers and correspondingly the application will rate the recipes. On this application, based on the best-case emoticon reviews, the food will be listed on the top. This will make a more genuine review about the product. If this application has got implemented and installed in the device, further an update will be announced that users can review and view more than one particular product." @default.
- W4304166388 created "2022-10-11" @default.
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- W4304166388 date "2022-10-12" @default.
- W4304166388 modified "2023-10-15" @default.
- W4304166388 title "Quality Rating Application for Victual Recipes Using Facial Analysis" @default.
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- W4304166388 doi "https://doi.org/10.1007/978-981-19-5845-8_59" @default.
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