# NgoQuocBao1010/Exercise-Correction

<https://repo.masters-masters.com/en/repos/NgoQuocBao1010/Exercise-Correction>

[Home](https://repo.masters-masters.com/en) › [NgoQuocBao1010](https://repo.masters-masters.com/en/owners/NgoQuocBao1010) › [Exercise-Correction](https://repo.masters-masters.com/en/repos/NgoQuocBao1010/Exercise-Correction)

NgoQuocBao1010/Exercise-Correction has 131 stars on GitHub. Its RepoMasters card: Prototype tier. Make use of the power of Mediapipe’s pose detection, this…

| Field | Value |
| --- | --- |
| Owner | [NgoQuocBao1010](https://repo.masters-masters.com/en/owners/NgoQuocBao1010) |
| Stars | 131 |
| Forks | 43 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | exercise-correction, keras, machine-learning, mediapipe-pose, plank, sklearn, squat, bicep-curl, lunge, fitness-tracker |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [NgoQuocBao1010/Exercise-Correction](https://github.com/NgoQuocBao1010/Exercise-Correction) |

## Repository

Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.