As a case study, this review paper attempts to promote entrepreneurial purpose in technology students and thereby analyzes the intersection of entrepreneurship and artificial intelligence (AI) in designing creative healthcare solutions for the older population. As the aging population gains prominence in most countries worldwide, there is a dire need for effective healthcare treatments that enhance seniors' quality of life. Inspired by eminent academic ecosystems such as Stanford and UC Berkeley, the study presents a teaching framework for computer science students to develop entrepreneurial approaches to AI-based healthcare solutions. These models, well-known for combining artificial intelligence innovation with healthcare entrepreneurship, provide standards for producing like results in all kinds of educational environments. The study focuses on how artificial intelligence can improve elderly care by exploring its use in remote monitoring, predicting health issues, managing prescriptions, providing virtual health assistance, and offering support for mental tasks. Entrepreneurial ideas are assessed using a decision-making tool based on Multi-Criteria Decision-Making (MCDM) methods such as the Best-Worst Method (BWM), FUCOM, and MEREC. This rubric assesses technological viability, financial viability, scalability, regulatory compliance, ethical considerations, and market potential. Including MCDM models in the assessment process helps students equip themselves with organized tools for creating significant AI-driven healthcare projects. It emphasizes the need for multidisciplinary cooperation in generating scalable, creative ideas for aged care and encouraging entrepreneurship in healthcare technologies.