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ClimbHarder aims to provide a full-featured platform for climbing training, using quantitative/qualitative measurements, and artificial intelligence to dynamically build training plan tailored to the individual athlete response to training, provide insights based on the user population and much more.

License: GNU General Public License v3.0

Python 99.64% Dockerfile 0.36%
climbing training bouldering api-rest artificial-intelligence rock-climbing

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climbharder's Issues

What, So What, Now What reflective training journal

The application allows to keep track of a reflective training journal using the What, So What, and Now What framework:

  • What? What Describe a particular situation, then focus on achievements, consequences, responses, feelings, and any problems.
  • So What? Discuss what you have learnt about yourself, relationships, models, attitudes, cultures, actions, thoughts, understanding, and any improvements.
  • Now What? Identify what you need to do in the future in order to improve future outcomes and develop your learning.

resistance training exercises capabilities

Implement capabilities to:

  1. Track resistance training exercises, and
  2. CRUD a small library of climbing-related resistance training exercises

Each resistance training exercise should contain:

  • exercise name
  • equipment
  • weight
  • repetitions
  • time
  • utility: primary, auxiliary, climbing-primary, climbing-auxiliary, injury-prevention, rehab
  • type: compound or isolated
  • functional: push, pull
  • muscles worked

Full user profile

Extend the user class with sexual orientation, sentimental status, climbing/bouldering grades, and years of experience preference for bouldering, climbing, gears, safety gears, car, open to hosts a climbing session within X km, open to joining a climbing session within X km

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