Contains AI, ML and Full Stack projects with links and also unique ideas without GitHub references. You can pick from here, implement them in your own way, and then add your repository link here later.
So first of all, the reason behind this gist. I thought about something we all have in common as developers, the constant struggle to find project ideas. So for that, I made this gist. It contains all my ideas for some cool, slightly crazy projects.
[!IMPORTANT]
Note
✨ Start small and stay organized, clarity beats complexity.
Learn how to build, structure, and showcase web projects on GitHub and LinkedIn, with curated resources and best practices to help beginners shine from the very start.
We can approach this in three main sections:
1️⃣ What to Build (Beginner → Strong Foundations)
Begin your journey into Data Science with Python, a beginner-friendly and versatile language.
This guide offers a structured path with curated resources, covering fundamentals, hands-on practice, data cleaning, visualization, and deployment. Perfect for students and beginners aiming to work on real-world datasets and build deployable data apps.
We come across countless file extensions in our daily work, each serving a specific purpose across different domains. To make it easier to understand and access them all in one place, I created this interactive Gist—a well-structured guide with clear descriptions, relevant tools, and emojis for quick identification. From documents and programming files to media, databases, and system configurations, this guide helps you navigate various file types effortlessly.
