As of now, there are no significant risks in the project. We look to build our people counter and a bench sensor module this and next week, and have everything set up in the gym so that we can begin collecting data for our predictive model.
There were no big changes to the system as a whole. We have decided to focus more on the model using the people counter component along with a bench sensor set up in the gym. We look to set these up this week.
There was a slight change to our schedule with setting up the components and testing certain pieces.
Part A was written by Max Adams
While times have returned to normalcy, our product design applies to the importance of social distancing and crowd control. Our product solution addresses the need for social distancing by providing users with a mobile window and predictions on the crowding of the UC gym. While our product is specific to the UC Gym, it is scalable to other gyms. With real-time data, governing bodies can ensure that gyms are abiding by occupancy limits to ensure public health and safety are protected.
Part B was written by Sid Sapra
Our app offers a comprehensive solution to address the increasing need for efficient gym utilization, aligning with cultural values of time optimization and health consciousness prevalent in many societies today. By providing real-time tracking of gym occupancy and predictive analytics on crowdedness and machine availability, our product empowers users to plan their workouts effectively, optimizing their time spent at the gym. In cultures where time is a precious commodity and adherence to fitness routines is highly valued, our app becomes a valuable tool for individuals striving to maintain their health and fitness goals amidst busy schedules. Additionally, by fostering a sense of community and consideration for others’ workout experiences, our solution promotes a culture of shared responsibility and respect within gym environments, enhancing the overall experience for all users.
Part C was written by Derek Kim
Our system addresses excess carbon emissions by giving gym goers and gym owners a medium of tracking crowding and the real-time occupancy of a gym. At times when there is very low crowding, gym owners can save resources by reducing electricity use to lower their carbon footprint, helping the environment and saving money. Also, gym users who drive only need to travel to the gym at times best for them if there is low crowding. If a gym is very crowded users can opt for other activities or at-home workouts, thus reducing their carbon emissions.