The document discusses a student's real-life problem of managing multiple tasks amid approaching exams, leading to a desire to prioritize more profitable work. It outlines an algorithm based on dynamic programming to determine which tasks to accept for maximum earnings and minimal days required. The solution involves creating a table to assess days and earnings for each task and identifying the most profitable tasks to complete.