Agentic AI Internship Lab

This workspace is my personal Agentic AI internship learning folder. It collects small experiments, guided exercises, and project practice across Python, LLM APIs, embeddings, token counting, file handling, and agent workflows.

What’s inside

• agents/ - course material, notebooks, and agent-building labs
• ai_project/ - a simple machine-learning email classification project
• Embedding/ - embedding generation and cosine similarity experiments
• File_Management/ - basic file reading and text processing practice
• HuggingFace/ - local transformer model examples
• OpenAI/ - OpenAI/OpenRouter chat-completion experiments
• Token_Counter/ - token counting and cost estimation practice

Goal

The purpose of this workspace is to keep learning projects organized in one place while making it easy to compare approaches, revisit experiments, and build toward more complete agentic systems.