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I built my first Retrieval-Augmented Generation (RAG) system - a student enrollment chatbot that demonstrates how AI can improve how educational institutions serve prospective students. The system combines natural language processing with a knowledge base to provide instant, accurate responses to student inquiries.

This project is an AI-powered customer support assistant for a fictional airline called FlightAI. It leverages language models (like GPT-4o-mini) for chat interactions, DALL-E-3 for image generation (e.g., of destination cities), and OpenAI text-to-speech model for audio responses. The user interface is built with Gradio.

Running the open-source DeepSeek LLM locally on your machine.

How I developed an automated system using Python and a Raspberry Pi to send personalized follow-up emails to hiring contacts, improving the job application process while enhancing my skill in automation.

Docker improved my web app deployments by ensuring consistent environments with containerization, and streamlining multi-app management through Docker Compose, all while remaining portable across cloud providers.