CLUSTER PHYSICAL-ASSESSMENT-EXERCISES · 6 ENTRIES · EARLIEST ENTRY 2026-09-16

AI fitness assessment for physical education

This cluster consists of AI-powered fitness assessment platforms that use camera pose tracking to analyze exercises and manage student learning records for physical education. The dated history is too thin to read a shape from; it predates the index or its members are undated. The traction leaders—KFCG-Exer, ExerFitness, and KFCG-Exerfit—all show zero activity, so no frontrunner has emerged.

Entry timeline

ENTRY TIMELINE

SEP 2026: 6
SEP 2026

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 5 unlabelled

Operator · 1 hobby · 5 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 6 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01KFCG-Exer0★12 days—AI-powered physical fitness assessment system that analyzes exercises and manages learning for physical education.
  2. 02Fonte0★1 mo—AI-driven application for sports training, performance analysis, and activity tracking.
  3. 03raqamli-faollik-muhiti0★1 molivehand-codedPlatform for monitoring, developing, and assessing physical activity of pedagogy students with feedback and analytics.
  4. 04KFCG-Exerfit0★1 mo—hobbyFitness assessment system that evaluates physical exercise form and manages physical education coursework for students and teachers.
  5. 05ExerFitness0★1 mo—AI-powered physical fitness assessment system that analyzes exercises and manages learning for physical education.
  6. 06KFCG-Exerfit0★1 mo—AI-powered fitness assessment platform that measures physical exercises with camera pose tracking and manages student learning records.