Scholarship Matchmaker Algorithm Development

The Scholarship Whizz seeks to enhance its platform by developing an advanced algorithm that efficiently matches students with scholarship opportunities tailored to their academic profiles, preferences, and eligibility criteria. The project challenges students to design and implement a sophisticated matching algorithm that provides personalized scholarship recommendations, thereby increasing user satisfaction and platform reach. This initiative offers students a practical opportunity to apply machine learning techniques to a real-world problem, focusing on the optimization of scholarship matching processes. The project is structured to be completed within 60 hours over a period of 2-8 weeks, allowing students to gain hands-on experience in algorithm development and data analysis. By the end of the project, students will have a deeper understanding of how machine learning can be leveraged to address challenges in educational technology.