Lack of physical exercise leads to many complicated diseases such as obesity, diabetes, and cardiovascular diseases, or even death in certain cases. College students are at an age where their physical activity levels decline. Physical education may be beneficial in preserving the student's life and improve their health condition. This paper aims to provide support and optimization using a deep learning approach for the students in their college environment. Deep Learning(DL) allows the students to create their areas of interest and set their own rules, leading to active participation. DL increases the students' level of participation by providing effective communication, collaboration, creativity, technological advancement, critical thinking, personalized and real-time learning. The participation of the students can be initiated by allowing them to select a game and exercise routine in their area of interest. If one team does exercise, then another team will participate in the game of their choice. With the help of DL, they can change a rule or adapt a constant. With a lot of training, they will figure out how to excel in their physical activity. This program aims to involve everyone in this task, and nobody should be left out. The critical aspects such as the low performance of a student in physical activity are considered significantly critical and should be maximized to improve the accuracy of the student's performance. Students should take their failure as an opportunity to discover an alternate approach to succeed in it. Optimization is provided by selecting the best approach for each student from the set of available approaches by reducing the student's perception level and increase motivation to engage in each activity. Physical training has a positive impact on the student's health with a 94% increase in energy expenditure and 82% in the fitness rate of the students. The deep learning approach used maximized efficiency in increasing the students' participation and performance level up to 92%.

缺乏体育锻炼会导致许多复杂的疾病，如肥胖、糖尿病、心血管疾病，甚至在某些情况下会导致死亡。大学生正处于身体活动水平下降的年龄。体育教育可能有益于保护学生的生命和改善他们的健康状况。本文旨在使用深度学习方法为大学环境中的学生提供支持和优化。深度学习 (DL) 允许学生创建自己感兴趣的领域并制定自己的规则，从而积极参与。DL 通过提供有效的沟通、协作、创造力、技术进步、批判性思维、个性化和实时学习来提高学生的参与水平。学生的参与可以通过让他们在他们感兴趣的领域选择游戏和锻炼程序来启动。如果一支球队进行锻炼，那么另一支球队将参加他们选择的比赛。在 DL 的帮助下，他们可以更改规则或调整常量。通过大量培训，他们将弄清楚如何在体育活动中表现出色。该计划旨在让每个人都参与这项任务，任何人都不应被排除在外。学生在体育活动中的低表现等关键方面被认为是非常关键的，应该最大限度地提高学生表现的准确性。学生应该把他们的失败当作一个机会，去发现另一种成功的方法。通过降低学生的感知水平并增加参与每项活动的动力，从可用方法集中为每个学生选择最佳方法来提供优化。体育锻炼对学生的健康有积极的影响，能量消耗增加了 94%，学生的健康率提高了 82%。深度学习方法利用最大效率将学生的参与度和表现水平提高到 92%。