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[Feature Addition]: Web App for Air Quality Prediction #634

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Shiladityagit
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Pull Request for ML-Crate 💡

Issue Title: [Feature Addition]: Web App for Air Quality Prediction

  • Info about the related issue (Aim of the project) : To create a web app for air quality prediction
  • Name: Shiladitya Mondal
  • GitHub ID: https://github.com/Shiladityagit
  • Idenitfy yourself: AI-ML enthusiast

Closes: 596

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

I have run the the model in my local notebook.
I selected the model with best accuracy and exported using pickle.
I have created a separate folder named as the Project Title.
Inside that folder, there are :
Images - To store the required images.
Dataset - To store the dataset or, information/source about the dataset.
Model - To store the machine learning model you've created using the dataset.
Web app - app.py file to run the web app.

Type of change ☑️

What sort of change have you made:

  • Bug fix (non-breaking change which fixes an issue)
  • 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)
  • This change requires a documentation update

How Has This Been Tested? ⚙️

I have tested the air quality prediction app by running the app on Streamlit and verifying the result by testing different inputs .

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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github-actions bot commented Jun 6, 2024

Our team will soon review your PR. Thanks @Shiladityagit :)

@abhisheks008
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Closing this pull request as it is conflicting with the main branch.

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2 participants