Machine learning based mobile application for Financial Management for college students in Oman

College students confront various problems and develop many skills that will help them in their college adventure and future, but one of the essential skills students need is to handle their funds properly. The project is proposed to develop a personal finance mobile application for college students in Oman that will help them manage their money and provide valuable insights based on their data. The application increases students financial awareness and literacy while encouraging young people to make prudent financial decisions. The agile development methodology was utilized to develop the application. The application is separated into sub-applications, each of which promotes financial awareness and better decision-making. The home page integrates the whole program and displays a summary of the user s financial progress. The program produces beneficial insights into their current and future financial success using data analysis and machine learning while also exhibiting their last progress for their reference. The app also helps students save money and take advantage of their status by displaying deals and student discounts in their immediate vicinity. Financial literacy is further fostered by including links to financial articles that promote improved financial planning suggestions and practices. The application successfully uses the user’s data to produce beneficial insights and machine learning to predict the user s upcoming month s income and expenses using linear regression from flutter libraries. A successful application that analyses and indicates the student data was developed to prepare college students to be better financial planners and decision-makers before entering the real world.