The following are the problem statements that OneStepML aims at tackling.
Scattered Resources- For any student wanting to get started with ML, one of the biggest challenges is skimming through the plethora of resources scattered online, & filtering the useful, good ones out of those. This can be very overwhelming for the beginners & results in wastage of their time and resources.
Education Behind Paywalls- Education is a fundamental right for every human being. Despite this, an abundance of knowledge, the high-quality premium ML-related resources are hidden behind paywalls nowadays.
Confusion Regarding Open-Source- Student developers all around the world (& especially in India) are often confused as to how to get started with OS contributions. There are a lot of myths regarding it.
Internship Scams in India- There are fishy companies operating in India that make students pay money for "internships" & "certificates", claiming associations with FAANG companies, while not even providing any industry experience to the interns at all.
How OneStepML will solve these problems as an open-sourced platform for learning ML and Data Science:
Absolutely Free: Since this will be a community-driven project, we will not be charging the students a penny. This time, education will actually be free, just like it should be.
Open-Sourced: Our platform will provide open-source opportunities to student developers. Once the Beta version is released, it will be an entirely community-led project. People will be able to contribute to content or website development.
Moderated, Catalogued Content: The content will be properly cataloged for each level- beginner, intermediate and advanced. Community moderators & our team will ensure only the highest quality content makes it to production.
Externship Opportunities: In the future, as we scale up, we will give externship opportunities to student devs where they can get industry experience
Creating an entire website from the scratch proved to be a major challenge, that too while working with a team of 5 people with different time schedules.
Then content creation and moderation is also a challenge that the content team faced however for that, now we have a 3-layered moderation mechanism in place to make things efficient.
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