ML-Crate 💻🧰

Website for ML-Crate Project Repo: Click Here!

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🔴 Welcome contributors!

ML Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!

Structure of the Projects 📝

This repository consists of various machine learning projects, and all of the projects must follow a certain template. I wish the contributors will take care of this while contributing in this repository.

Dataset - This folder stores the dataset used in this project. If the Dataset is not being able to uploaded in this folder due to the large size, then put a README.md file inside the Dataset folder and put the link of the collected dataset in it. That'll work!
Images - This folder is used to store the images generated during the data analysis, data visualization, data segmentation of the project.
Model - This folder would have your project file (that is .ipynb file) be it analysis or prediction. Other than project file, it should also have a 'README.md' using this template and 'requirements.txt' file which would be enclosed with all needed add-ons and libraries that are included in the project.
Web App - This folder consists of the web application built using the best model of the project folder. Majorly deployed in Flask or Streamlit.

Project Folder
|- Dataset
   |- dataset.csv (dataset used for the particula project)
   |- README.md (brief about the dataset)
|- Images
   |- img1.png
   |- img2.png
   |- img3.png
|- Model
   |- project_folder.ipynb
   |- README.md
|- Web App
   |- templates
   |- static
   |- app.py
   |- demo.mp4
   |- README.md
|- requirements.txt

🧮 Workflow

Fork the repository
Clone your forked repository using terminal or gitbash.
Make changes to the cloned repository
Add, Commit and Push
Then in Github, in your cloned repository find the option to make a pull request

🥳 Open Source Programs!

_{SWOC 2021}

_{JWOC 2022}

_{OpenCode 2022}

_{PSOC 2022}

_{KWOC 2022}

_{DWOC 2023}

_{KWOC 2023-24}

_{JWOC 2024}

_{IWOC 2.0}

_{SSOC 24}

🏆 Achievements of this Project Repo 🎉

:one: Recognized as the "🥇 TOP PROJECT" for SWOC 2.0 for the year 2021-22. (49 Pull Requestes have been merged!)
:two: Recognized as the "TOP MENTOR" and "TOP PA" for the project 'ML-Crate' in SWOC 2.0.
:three: Recognized as the "🥇 BEST MENTOR" of JGEC Winter of Code 2022, for mentoring students to contribute in the project repo "ML-Crate".
:four: Recognized as the "🥇 BEST MENTOR" of CSI RAIT OpenCode Open Source Program 2022, for mentoring students to contribute in the project repo "ML-Crate".
:five: Recognized as the "🥇 TOP PROJECT ADMIN" of Hack Club RAIT Summer of Code 2022, for mentoring students to contribute in the project repo "ML-Crate".
:six: Special Mention from JWOC Team ✍️ : Abhishek is one of the most skillful and talented open source developers I have come across at JGEC Winter of Code 2K22. He exhibited commendable performance as a Project Admin and Mentor throughout the event. It was a pleasure to see him interact with and guide budding student developers to put forward their first steps towards open source contribution. The numerous mentorship sessions he facilitated for the participants reflect his domain expertise and technical proficiency. Abhishek is an inspiration for many young engineers who wish to build a career in Machine Learning and Data Science. His project ML-Crate was an essential gateway for ML enthusiasts to break the ice and start contributing.
On behalf of the entire Organizing Team of JWOC 2K22, I highly appreciate Abhishek's efforts to foster the spirit of community bonding and cooperation among the aspiring developers. His imaginative prowess and enthusiasm will be a great asset to any organization.