ai-labs

Welcome to sem-Lab, a collaborative space for students to learn, build, and share projects across multiple domains like Computer Networks, Artificial Intelligence (AI), Tinkering, and more!

The AI lab at DIU is part of the Computer Science and Engineering curriculum, focusing on practical applications of artificial intelligence concepts.

An AI driven electronic laboratory notebook (ELN), It is designed to help researchers, chemists, and engineers record and organize experimental data efficiently.

A set of AI Native applications, homegrown from build-in-public sandbox work in applied AI.

Comprehensive repository of Python-based laboratory exercises for the Introduction to AI course, covering engineering logic, circuit analysis, data manipulation, and automated reporting.

The clash between traditional Software-as-a-Service (SaaS) and Big AI Labs represents a structural shift from selling software dashboards to delivering autonomous labor and completed outcomes.

# Lab #001 -- AI Agent para analise pods no k8s

Opinionated research product ranking AI labs, dev tools, infrastructure, and frontier software companies.

AI research residency curriculum and portfolio-ready notes around AI labs, evals, benchmarks, agent systems, and research-adjacent product work near Anthropic and Claude.

Self-serve AI workshops for adoption programs. Browser-based, white-label ready.

A learning repo to explore the capabilities of the OpenAI Agents SDK for creating intelligent, autonomous agents.

A collection of 8 AI practice labs covering Machine Learning, Deep Learning, Computer Vision, Object Detection, Semantic Segmentation, Vision Transformer, and NLP/LLMs with detailed reports and results.

Artificial Intelligence laboratory experiments, assignments, mini-projects, and implementations completed during university coursework.

AI product builder and operator across Anthropic and Claude, Claude Code, Codex, AI labs, interactive AI products, and public proof surfaces.