Machine learning based e-commerce application using progressive web apps for online shopping of seasonal fruits
| Autor: | Muthu M. Perumal, K. Kanagaraj |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International journal of health sciences. :1838-1849 |
| ISSN: | 2550-696X 2550-6978 |
| DOI: | 10.53730/ijhs.v6ns3.5809 |
| Popis: | The key objective of this work is to apply machine learning technique to implement an e-commerce application named eOrchard, a virtual store for online shopping of seasonal fruits. The application is developed using open cart framework, angular and uses the progressive web application development features. Now a days it is very difficult to locate and buy the seasonal fruits around us. The proposed web app will provide information about all kinds of seasonal fruits and facilitates doorstep delivery within a day for locations within the city limits and for location outside the city, delivery can be made within 2 days. Here, the details of all kinds of seasonal fruits are collected along with the geo location tags and stored in the cloud to provide easy access to everyone. Users can order by searching the fruit name or by clicking the city name to know the seasonal fruit that is famous in the selected city. The application provides 24x7 customer support and a step by step tracking system that provide continuous update for the users about the ordered products. |
| Databáze: | OpenAIRE |
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