| Autor: |
Gangadhar Biradar, M.A Ajay Kumara, S L Shivadarshan, K Anvesh Rai, G M Aditya, B. S. Prashanth, Aditya Hoode, M. V. Manoj Kumar, H. R. Sneha |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 2nd Global Conference for Advancement in Technology (GCAT). |
| DOI: |
10.1109/gcat52182.2021.9587601 |
| Popis: |
Normally, the long queues and crowd can be seen at the canteens/hotels whenever there is a lunch break in an organization or within a campus. This paper proposes a solution for eliminating the queue system and introduces the facility to remotely place food orders. Further, this paper proposes a real-time food recommendation system to suggest the dishes to users based on their past orders. The solution has been implemented through a mobile application built using Flutter. The mobile application has been empowered with a machine learning model for recommending the items that the user might like. The proposed method has been tested with 2 vendors catering to 60 customers successfully. The accuracy of the recommendation has been satisfactory. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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