Cosine Similarity-Based Android Application for Intelligent Driver Recommendations

In several fields, machine learning techniques are employed extensively to address everyday issues. There are numerous issues that need to be re-solved in the essential industry of transportation. Finding the nearest and most suitable driver is one of the problems that the majority of people deal with. In general, everyone needs a professional and courteous driver, but some people run into issues when they hire a driver without knowing about him. The pro-posed solution is to develop a mobile application that connects customers with drivers effectively. By utilizing cosine similarity, the app suggests a list of drivers based on the similarity between profile vectors of new drivers and the customer’s previously hired driver. The app also dynamically updates the ranking of the driver in the list of suggested drivers, based on the cumulative rating of the driver which is calculated by considering feedback from other customers. This innovative approach simplifies the process for customers by eliminating the need for them to actively search for drivers who best match their preferences.