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Integrated features for depression detection #264
Integrated features for depression detection #264
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Thank you for submitting your pull request! We'll review it as soon as possible. For further communication, join our discord server https://discord.gg/tSqtvHUJzE. |
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Nice Work! Remove all .DS_Store
files and integrate it with Jarvis rather than building a flask app.
- Also submit a working video after integration with Jarvis.
- Link your issue with pr.
@Nikhil210206 Kindly link your issue as well. Follow the PR Guidelines. |
I am not able to link it with Jarvis |
my issue is linked with this |
?? |
You should discuss about the issue on discord to get quick response. |
send your username , the one in your profile says it is incorrect |
Join it. |
joined |
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Hey @Nikhil210206 as stated earlier, kindly remove all .DS_Store
files from this PR.
Also, instead of building a flask app, use streamlit
to integrate this depression detection
with Jarvis.
You can go through codebase to learn how other models are implemented using streamlit into Jarvis to get a rough idea. Also make sure to go through Contribution Guidelines, it'll help you alot with naming conventions etc.
I am not able to delete or remove those .DS files. I even checked in my vs code, those files are not there, it only appears in the pr I dont know why |
It should be there as hidden files. Enable the options to view hidden files, you'll find it. Otherwise, revert your commit, exclude all these |
also I have used streamlit instead of flask |
just now I updated the code, please check |
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now I have deleted the .DS files |
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Hey @Nikhil210206, While going through your updated changes, i have left my comments on each files. Kindly get the requested stuffs done.
Apart from this, You should keep filename
and your main function-name` same, in camelCase. (I suggest you to read and follow contribution guidelines)
Screen.Recording.2025-01-19.at.11.33.44.AM.mov |
I have made the changes and edited the file, now it works properly |
Closes: #55
Title: Integrated Depression Detection Features (Text, Face, and Audio)
Your Name: Nikhil Balamurugan
Describe the add-ons or changes you've made 📃:
In this PR, I have integrated multiple depression detection features into the project:
Text-based Depression Detection: Added NLP model for analyzing text input and detecting depression.
Face-based Depression Detection: Integrated FER (Facial Expression Recognition) library to detect emotions from a user’s face using webcam input.
Checklist: ☑️
My code follows the Contributing Guidelines & Code of Conduct of this project.
This PR does not contain plagiarized content.
I have performed a self-review of my own code.
I have commented my code, particularly wherever it was hard to understand.
My changes generate no new warnings.