On-Demand Home Service Application using Machine Learning
The on demand home service system using flutter is extremely beneficial for each and every individual by providing various services from variety of categories such as plumbing, gas repairing, cleaning, dusting, gardening, tailoring, car repairing etc. When an individual is migrating from one area to...
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Published in | International Journal of Advanced Research in Science, Communication and Technology pp. 480 - 485 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
15.03.2023
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Online Access | Get full text |
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Summary: | The on demand home service system using flutter is extremely beneficial for each and every individual by providing various services from variety of categories such as plumbing, gas repairing, cleaning, dusting, gardening, tailoring, car repairing etc. When an individual is migrating from one area to a different because now a day’s everyone wants to save lots of time and shot out their problems within time with none problem. Therefore, online home services are very beneficial to everyone in need of a clean and hygienic house. To help people keep their home healthy and up to date we have come with a solution to help people with any issues they face at their home. May it be related to plumbing issues, cleaning house, gardening, pest control, electrician work, tailor, painter, maid and cooking food. We all have everything at one place. Our project also includes include time slot of particular worker to check their availability. Users can rate the worker based on his performance. They can also make online payments and Cash on Delivery (COD) with our rich and secure payment gateway. We will imply various technologies to make our app more dynamic and user- friendly. Users can get a rich UI/UX interface. Our project is to make everyone’s home a cleaner, safer and healthier place to live. Allow everyone to breathe clean air at their home and make their home hygienic. In short keeping their home up to date and clean. |
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ISSN: | 2581-9429 2581-9429 |
DOI: | 10.48175/IJARSCT-8630 |