[Feature Addition]: Web App for Air Quality Prediction

[abhisheks008]

ML-Crate Repository (Proposing new issue)

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


🔴 Aim : The aim is to create a web app for the Air Quality Prediction project. Use the best existing model in the project folder. Follow the Web App README template for the same.


🔴 Dataset : N/A


🔴 Approach : Try to create a Flask/Streamlit app for the existing project.


🔴 Reference Project Folder: Brain Tumor Detection

---

📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • 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.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

---

🔴🟡 Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

---

✅ To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Participant ID (If not, then put NA) :
• Approach for this Project :
• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.)

---

Happy Contributing 🚀

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

[shivansh-2003]

Can You Please Assign this issue under SSOC. 2024 Season 3
Shivansh Mahajan
Github:- https://github.com/shivansh-2003
Participation ID:- NA
I will make a pickle file of the Fitted ML model and then deploy it to Streamlit Python Framework to display the feature and predict the quality . I am well versed with making Streamlit App you can check out my linkedin :-https://www.linkedin.com/in/shivansh-mahajan-13227824a/ and Git repository .
My some recent Project in Streamlit https://www.linkedin.com/feed/update/urn:li:activity:7199784822737682432/(SPAM classifier)
https://www.linkedin.com/feed/update/urn:li:activity:7201206409605091328/ . (NLP APP)
can u assign me with this issue @abhisheks008
Participation Role:- SSOC Season 3

[abhisheks008]

Contributions will start from June 1, 2024. Till then please have some patience.

[Shiladityagit]

I have a question.Do I have to use your Model and create a web app ? Or do I have to make my own model with the dataset and create a web app?

[abhisheks008]

I have a question.Do I have to use your Model and create a web app ? Or do I have to make my own model with the dataset and create a web app?

Use the existing model which is having the highest accuracy.

[Shiladityagit]

Shiladitya Mondal
Github:- https://github.com/Shiladityagit
Participation ID:- NA
Approach for this project : I will pick the model with the highest accuracy ,then I will make a pickle file to import the model .I will create a web app using Flask/Streamlit to show the air quality predictions.

Linkedin profile : https://www.linkedin.com/in/shiladitya-mondal-28421b2a3/
Can you please assign me with this issue @abhisheks008 ?
Participation Role:- SSOC Season 3

[Armaan457]

Armaan Jagirdar
Github: https://github.com/Armaan457
Participating under SSOC'24
After picking the model with highest accuracy, I'll make a pickle file to create a web app with Streamlit/Flask. I am a beginner but I have some experience of working with Flask and bit of Streamlit.

[abhisheks008]

Assigned @Shiladityagit