[Feature Addition]: Web App for Vehicle Live Risk Prediction

[abhisheks008]

ML-Crate Repository (Proposing new issue)

🔴 Project Title : [Feature Addition]: Web App for Vehicle Live Risk Prediction


🔴 Aim : The aim is to create a web app for the Vehicle Live Risk 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

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📍 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.

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🔴🟡 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.

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✅ 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.)

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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 Risk Assessment Of Vehicle . 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.

[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 Risk Assessment Of Vehicle . 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]

Cool go ahead. @shivansh-2003

[shivansh-2003]

Thanks sir , @abhisheks008 for assigning issue to me

[shivansh-2003]

My app work of streamlit is it enough or need changes

[abhisheks008]

Have you used the existing model which is best fitted as in the existing project?

[shivansh-2003]

Yes Xgboost

[abhisheks008]

Create your pull request for review.

[github-actions]

Hello @shivansh-2003! Your issue #602 has been closed. Thank you for your contribution!