How can an MCA project demonstrate data science lab?

A strong MCA project should solve a clear problem and demonstrate real technical work. A student can strengthen it with proper documentation, testing, source control and a working demonstration. This makes data science lab more valuable when it is supported by hands-on practice and a clear explanation of what you built. This point is specifically relevant to the data science lab aspect of MCA study. For this specific question about data science lab, the practical takeaway is to relate the concept to your own MCA learning goal.