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aditi1403 avatar akrish4 avatar amandp13 avatar arpit456jain avatar dependabot[bot] avatar manan-bedi2908 avatar srimani-programmer avatar

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breast-cancer-predictor's Issues

Improve the documentation

Hey, @srimani-programmer I wanted to improve the documentation of this project. Adding some necessary changes, adding some icons, gifs, images to the documentation will make it look more appealing and easy to read for the newbies, wanted to contribute to this project.

Visualizations for the numerical dataset

Hi,

I am a GSSOC'21 participant and I want to work on adding visualizations for the numerical data.
I will use plotly to create interactive charts and write python scripts for the same so that it can be integrated with the application.

Thank you.

Develop a website for our application

Features of the Website

  1. It should have a good looking UI.
  2. It should have good responsiveness.
  3. It should contain all the details regarding Breast cancer.
  4. It should contain the contributor's names as well.

Technologies Allowed

  • HTML5
  • CSS3
  • Javascript
  • Bootstrap

NOTE: No high-level frameworks like React, Angular, Vue are strictly not allowed.

Bonus Points: The One who develops the website with good features and responsiveness will get extra bonus points.

Pull request template missing

PR template is an important feature of any repo. When we create a PR (Pull Request), PR template ask some conditions which are necessary to fullfill before submitting a PR. This is missing in this project.

Save and Load model

we can use a pretrained model insted of training everytime. machine learning models like random forest have size in kbs. it will be a fast method.

New Feature Addition

Hello Sir/ Madam,

I was wondering if I could add Predict via Image to this Project. Use of Computer Vision would benefit for the accuracy as well as would ease a lot in predicting. We will just need to upload an Image and get the Results. Also as it would be an addon, the initial way (random forest) would also be available as well as Predict via Image would also be functional.

Later on we can also use meta data(which is asked in present scenario) with Images to help users get much better results.

Thanks

New feature

Hello, I want to work on a feature where breast cancer can be detected using various parameters as inputs.
Can you please assign this issue to me for GSSoC 21?

Prediction of type of Breast Cancer

The project will consist of-

  1. Prediction on the type of Breast Cancer from properties of tumor.
  2. Using different model classifiers on different training sets to find out the most accurate one.

Adding a favicon

I have good experience in making a favicon,
can you assign me this issue under GSSoC'21?

Issue Template missing

Issue template is an important feature of any repo. When we create an Issue, Issue template ask some questions related to the issue being created so that other contributors can know what the issue is and how we can solve it . This is missing in this project.

Fast API based API

Instead of using Flask to serve the model in realtime @srimani-programmer , we can use something called Fast API. With that we can able to move our builded api to production ready easily.
I have raised this issue as a part of GSOC21

IMPROVED README WITH IMAGES

Hello maintainers !!!
We can improve the readme with some images and stats.
If you feel so, then please assign this issue to me!!!

We can add "Get in touch section" in the footer.

Features that we can add
We can have a footer with Get in touch section ... you have option to fill name, email and message which will go directly to the admin.
Like the screenshot i have attach ...
if you like the idea I would like to contribute as GSSOC'21 participant.

Deep Neural Network based classifier

Hello, I am a GSSoC'21 participant and am experienced in deep neural networks.
The problem can be effectively solved by using a deep neural network for building the image classifier. I would like to work on this issue.

Using various algorithms for model

@srimani-programmer I would like to use various algorithms like

  1. Logistic Regression
  2. Nearest Neighbor
  3. Support Vector Machines
  4. Kernel SVM
  5. Naive Bayes
  6. Decision Tree Algorithm
  7. Random Forest Classification
    and get then use the best one with the maximum accuracy for the model.
    Please assign this

Web App using Streamlit To Predict Breast-Cance-Predictor

Sir, I want to make an web app using streamlit (as a beginner I'm not very good with flask)
to do the hyperparameters optimization of various Classification Algorithms :
like SVC, LogisticRegression, RandomForestClassifier and display the
classification metrics like confusion_matrix, roc_curve, precision_recall_curve.

I am a GSSOC'21 participant.

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