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CloudPal AI: Building a Free Cloud & DevOps Learning Assistant for Hacktoberfest 2026

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built I built CloudPal AI – Your Cloud & DevOps Learning Friend , a beginner-friendly educational chatbot designed to help students and aspiring cloud engineers learn Cloud Computing, AWS, Microsoft Azure, DevOps, Docker, Kubernetes, and Linux. I created this project with learners in mind who often struggle to…

Abhimanyu Sharma has created CloudPal AI, a beginner-friendly chatbot aimed at teaching cloud computing, AWS, Microsoft Azure, DevOps, Docker, Kubernetes, and Linux to students and aspiring cloud engineers. This educational chatbot provides interactive responses, multiple-choice quizzes, technical interview practice, and a user-friendly dashboard for learning key Linux, Docker, and Git commands.

The project is built with HTML5, CSS3, and vanilla JavaScript, using a predefined knowledge base and rule-based responses instead of an external AI API. CloudPal AI does not require any API tokens, backend configuration, or external frameworks, making it accessible to anyone with a web browser.

The main goal of CloudPal AI is to simplify technical learning and make it engaging for beginners, without the need for account creation, API keys, or additional software installation. The code for this project is available on GitHub at https://github.com/001abhimanyu/CloudPal-AI.

Open innovation is emphasized as a means of making technology more accessible, enabling developers to collaborate, learn, and improve upon existing projects. CloudPal AI is designed as a community-driven learning resource, encouraging contributions to expand its educational knowledge base, add quizzes, and introduce new features. Future improvements could include integration with open-source AI models and the addition of learning difficulty levels to cater to a wider range of users.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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