Learn. Build. Share.
An open-source AI community by Data Science Research Perú. This is a practical space to learn, build in public, and contribute to AI projects with clear engineering standards.
We focus on AI Agents, RAG, MCP, AI Engineering, Claude, Codex, Gemini, OpenAI, Python, LLMs, and automation. Everyone can participate through a fork and Pull Request; organization membership is optional.
- Learning paths in
learning/ - Hands-on labs in
labs/ - Reusable project templates in
projects/ - Open challenges in
challenges/ - Curated resources in
resources/
- Read the community guide.
- Fork this repository and create a feature branch.
- Choose a lab, challenge, resource, or project idea.
- Open a Pull Request using the provided template.
See CONTRIBUTING.md and the contribution guide. Small documentation improvements are welcome alongside projects and challenge submissions.
Propose and discover shared work in community-projects. Each project should document its problem, architecture, setup, and contributors.
Active challenges live in challenges/active. Submit a documented solution by Pull Request.
AI Builders complete challenges, publish useful projects, and document what they learn. Recognition is based on quality and helpfulness, not commit volume. See builders.
Visitor → Contributor → Community Member → AI Builder → Mentor → Maintainer
Roles and responsibilities are described in GOVERNANCE.md.
Be constructive, give credit, protect private information, and never commit secrets. Read the Code of Conduct and Security Policy.
DSRP develops talent and open knowledge in data, artificial intelligence, and software engineering. Learn more at datascience.pe.