Xtremilicious/projectlearn-project-based-learning

A curated list of project tutorials for project-based learning.

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Summary Information

Updated 35 minutes ago
Added to GitGenius on September 10th, 2026
Created on December 1st, 2019
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 535
Total Stargazers: 6,281 (+0)
Total Subscribers: 66 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 126.0 days
Mean response time: 249.3 days
90th percentile: 712.2 days
Tracked items: 4

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,220 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

ProjectLearn is a curated collection of project tutorials organized to support learning through hands-on implementation.

The project addresses the challenge of finding quality, structured learning resources by collecting tutorials across multiple domains and skill levels. Rather than pointing to scattered resources, it organizes project-based tutorials into a searchable, categorized database covering areas like web development, mobile development, machine learning, game development, and artificial intelligence. The approach centers on learning by doing, recognizing that building real projects accelerates skill acquisition more effectively than passive study.

Developers should choose this resource when they want guided, project-focused learning paths rather than theoretical documentation. It suits anyone from beginners seeking structured entry points to experienced developers exploring new domains through practical application. The collection spans popular frameworks and languages including React, Vue, Flutter, Python, TensorFlow, and scikit-learn, making it useful for those working in web, mobile, or machine learning contexts. The tool works best as a reference when you know what kind of project you want to build and need curated starting points rather than having to evaluate countless tutorials yourself.

The project maintains an active codebase with regular updates to its tutorial collection and filtering capabilities. Development shows consistent engagement with the resource, incorporating new tutorials and refining the categorization system to keep pace with emerging technologies and learning needs.