“My Learning Journey in the AI Agents Intensive Capstone Project”

Source: Dev.to

Overview

This submission is for the Google AI Agents Writing Challenge: Capstone Showcase. I participated in the Kaggle AI Agents Intensive to explore AI agents and their real‑world applications. For my capstone, I developed an AI‑Powered HR Leave & Payroll Agent, which automates leave approvals and payroll updates in an organization, reducing manual work and minimizing errors. The project allowed me to apply AI agents to a practical enterprise workflow.

Technologies Used

• Python – core programming language for the agent logic.
• Natural Language Processing (NLP) – to interpret leave requests written in natural language.
• Retrieval‑Augmented Generation (RAG) systems – for context‑aware decision making and policy compliance.
• Streamlit – to build the interactive user interface.
• Docker – for containerized deployment.

Learning Outcomes

• Strengthened my understanding of AI agents and their applications in business workflows.
• Gained experience integrating multiple technologies to solve complex problems, improve efficiency, and build scalable AI solutions.
• Enhanced both technical skills and problem‑solving abilities, motivating me to continue developing intelligent systems with real‑world impact.