Recommendation based website for vehicle breakdown service using content based filtering

• Main Authors: Kumar, Poladi Pramod, Kadapa, Sagar, Sharief, Mohammed Malik, Ahmed, Mohammed Sulthan, Shasidhar, Thogaru Sai, Kotha, Venkat Deepak
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Customers; Employees; Websites
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0196027

In this paper we created a user-friendly website to connect both customers and employees for vehicle break down services we worked as a group. Suppose if a person traveling on the road and met with any vehicle break down or any repair to his vehicle, he/she should struggle to fix it, and also it takes a huge amount of time to fix if we don’t have enough skill. Especially if this happens at the night times for girls, it is really hard to them to fix that issue and not secure for them at those times. For this we are provided a solution which is a user-friendly website which binds the customers who are in a problem and with the workers who are skilled on the vehicle repairing’s. The website can be created by using flask or Django which provides interface and also model is trained and imported in the website itself by using following algorithm. Content based algorithm can be used to compare the ratings and reviews given by the customers, with which we can provide best worker, for the customer’s, by his previous working experience. If we are at unknown location then we may not know about the employee whose skills are good then content based algorithm helps us to recommend best employee from given employees based on the location