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ml-opensource's Introduction

ML-Opensource

This repository consists of opensourced ML Projects with front-end of Flask.

Contribution Guidelines

First off, thanks for taking the time to contribute! ๐ŸŽ‰

The guidelines for contributing to this repository can be found in the CONTRIBUTING.md file.

These guidelines are a way to communicate how people should contribute. These guidelines will help you verify that you're submitting well-formed pull requests and opening useful issues. For both contributors and us, contribution guidelines will save time and hassle caused by improperly created pull requests or issues that have to be rejected and re-submitted.

Code of Conduct

We have adopted a code of conduct to define community standards, signal a welcoming and inclusive project, and outline procedures for handling abuse. Please go through the Code of Conduct file so that you understand the community standards.

ml-opensource's People

Contributors

jayeshshelar avatar gitesh1209 avatar tejasmorkar avatar aniketdhole07 avatar rutujanemane avatar varunpusarla avatar

Watchers

James Cloos avatar  avatar

ml-opensource's Issues

Adding a spam classifier

Would like to add a spam classifier that takes input from user and specifier whether the input text is spam or not.

i want to add Cotton disease prediction using cnn ipynb file

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

Describe the solution you'd like
A clear and concise description of what you want to happen.

Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.

Additional context
Add any other context or screenshots about the feature request here.

New Binary Image Classifier model need to be added

The following changes are needed to be done on the footer section of the website

Todo
Cats and Dogs Binary Classifier model need to be added
Pre-processing steps should be taken care of regarding image
Convert the model in pickle or h5 format
Add the model in the main flask app

Important Points
Model should be accurate enough to classify between simple Cats and Dogs images
Take care of the loss of weights during conversion
Don't directly integrate with flask initially check it before proceeding further.

Leaf Infection Classification

I have created a Leaf Infection Classifier model to detect if Image of any plant leaf is infected or not. I would like to add this in this repo.

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