recording-compressed.mp4

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Introduction

Traditional methods of learning machine learning models are often perceived as tedious and challenging. This can result in a lack of motivation and engagement, hindering the learning process. Machine Minds is a game-based learning platform for machine learning concepts that solves these problems. This platform is designed to make learning fun and engaging, while also providing a comprehensive understanding of the concepts. The platform includes interactive quizzes and visualizations, user-friendly guides, and a forum for users to seek assistance and engage with the community. Machine Minds is suitable for learners of all levels, from beginners to experts, and is designed to be user-friendly and accessible to all

• Designed an attractive game-based learning platform for machine learning concepts
• Developed engaging quizzes to test the user's knowledge
• Developed interactive visualizations to help users understand the role of the hyperparamters
• Authored user-friendly guides on various machine learning topics
• Established a forum for users to seek assistance and engage with the community
• Integrated Google OAuth to simplify and streamline the login process

Techstack

• Python
• Flask
• Scikit-learn
• SQLite3
• Matplotlib
• HTML+CSS+JS

Endpoints

URL Path	Description
/	Home page
/dashboard	Dashboard for the user
/playground	Page for choosing basic or advanced levels
/basic	All the basic levels
/basic/level<int>	A specific basic level
/advanced	All the advanced levels
/advanced/level<int>	A specific advanced level
/forum	Home page of the forum
/forum/<postid>	A specific post
/forum/submit	Page for creating a new post
/guides	All the guides
/guides/<guideid>	A specific guide

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Running the website

If you want to run the wesbite locally, follow the steps below:

First of all, ensure that git and python are installed on your system. Then run the following commands:

git clone https://github.com/keshxvdayal/machine-minds
cd machine-minds/src
pip install -r requirements.txt
python app.py

And voila, the website should be up and running on http://127.0.0.1:5001