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📃: # Feature Using Computer Vision to Detect Bad Posture #306

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praveenarjun opened this issue Oct 8, 2024 · 3 comments
Closed

📃: # Feature Using Computer Vision to Detect Bad Posture #306

praveenarjun opened this issue Oct 8, 2024 · 3 comments
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Contributor Denotes issues or PRs submitted by contributors to acknowledge their participation. gssoc-ext hacktoberfest level2 Status: Assigned Indicates an issue has been assigned to a contributor.

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@praveenarjun
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🔴 Title : Computer Vision to Detect Bad Posture
🔴 Aim : Implement a feature using computer vision techniques to detect bad posture in real-time using a webcam feed.
🔴 Brief Explanation : The feature will leverage machine learning models to analyze the user's posture through a webcam feed. It will provide real-time feedback and suggestions to correct posture, helping users avoid potential health issues associated with bad posture. The implementation will involve training a posture detection model, integrating it with the PyVerse project, and creating a user-friendly interface for real-time monitoring and feedback.

Screenshots 📷

postur


To be Mentioned while taking the issue :

  • Full name : Sree Praveen Challa
  • What is your participant role? Gssoc,Hackbefest

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

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github-actions bot commented Oct 8, 2024

🙌 Thank you for bringing this issue to our attention! We appreciate your input and will investigate it as soon as possible.

Feel free to join our community on Discord to discuss more!

@UTSAVS26 UTSAVS26 added Contributor Denotes issues or PRs submitted by contributors to acknowledge their participation. Status: Assigned Indicates an issue has been assigned to a contributor. level2 gssoc-ext hacktoberfest labels Oct 8, 2024
@praveenarjun
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if possible pls review again #214 The data set is been updated

UTSAVS26 added a commit that referenced this issue Oct 10, 2024
#319)

… Posture

# Pull Request for PyVerse 💡


## Issue Title : # Feature Using Computer Vision to Detect Bad Posture
#306

- **Info about the related issue (Aim of the project)** : The goal of
this project is to implement a feature using computer vision techniques
to detect bad posture in real-time using a webcam feed. This will help
users correct their posture and avoid potential health issues associated
with bad posture.

- **Name:** <!--Mention Your name--> Sree Praveen Challa
- **GitHub ID:** <!-- Mention your GitHub ID --> praveenarjun
- **Email ID:** <!--Mention your email ID for further communication. -->
[email protected]
- **Idenitfy yourself: (Mention in which program you are contributing
in. Eg. For a WoB 2024 participant it's, `WoB Participant`)** <!--
Mention in which program you are contributing --> GSSOC,Hackbefest


<!-- Mention the following details and these are mandatory -->

Closes: #issue number that will be closed through this PR. #306

### Describe the add-ons or changes you've made 📃

Give a clear description of what have you added or modifications made

I have added a new feature that uses computer vision to detect and
provide feedback on bad posture. This includes training a posture
detection model, integrating it with the PyVerse project, and creating a
user-friendly interface for real-time monitoring and feedback.

## Type of change ☑️

What sort of change have you made:
<!-- 
Example how to mark a checkbox:-
- [x] My code follows the code style of this project.
-->
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Code style update (formatting, local variables)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)

## How Has This Been Tested? ⚙️

Describe how it has been tested
The feature has been tested using multiple test cases to ensure it
accurately detects bad posture and provides appropriate feedback. It has
been verified by running it on different web browsers and devices to
ensure compatibility and performance.
Describe how have you verified the changes made

## Checklist: ☑️

    My code follows the guidelines of this project.
    I have performed a self-review of my own code.
I have commented my code, particularly wherever it was hard to
understand.
    I have made corresponding changes to the documentation.
    My changes generate no new warnings.
I have added things that prove my fix is effective or that my feature
works.
Any dependent changes have been merged and published in downstream
modules.
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✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!

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