> For the complete documentation index, see [llms.txt](https://gympfy.gitbook.io/gympfy-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gympfy.gitbook.io/gympfy-whitepaper/whitepaper-gympfy/the-user-journey.md). # The User Journey Through the device’s camera, the platform uses Computer Vision to analyze movements in real time, validate physical activities, and track user evolution over time. Every completed workout contributes to a continuous journey of development, where effort, consistency, and progress go hand in hand. #### 6.1. Exercise Selection The user selects one of the available modalities within the application. Each exercise features specific validation criteria that the system will use to track its execution. #### 6.2. Real-Time Movement Analysis Upon starting the activity, the device’s camera begins mapping strategic points on the user's body. By analyzing these movements, the platform identifies biomechanical patterns associated with each exercise and tracks execution in real time. #### 6.3. Automatic Validation and Counting Each correctly executed repetition is automatically recognized by the system. During the workout, the user receives instant visual and audio feedback, allowing them to track their performance while performing the activity. #### 6.4. Progress Tracking All completed activities are logged by the platform. Training volume, frequency, performance, and evolution comprise an individual history that allows users to monitor their development over time. #### 6.5. Leaderboards and Healthy Competition The results achieved feed into ranking systems that encourage continuous participation and personal growth. Users can track their performance on exercise-specific leaderboards as well as global ecosystem rankings. #### 6.6. Continuous Evolution Each validated workout contributes to the user's progression within the platform. The combination of movement validation, evolution systems, and engagement mechanics transforms physical activities into a continuous journey of growth, recognition, and personal development. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://gympfy.gitbook.io/gympfy-whitepaper/whitepaper-gympfy/the-user-journey.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.