During my AI Engineering internship, I developed a real-time Voice Assistant using VAPI that enabled users to interact conversationally and execute tasks programmatically. I implemented natural language understanding to process user commands and generate context-aware responses, ensuring smooth and interactive communication. This project gave me hands-on experience in speech recognition, prompt handling, and AI-driven automation, providing end-to-end exposure from backend integration to user-facing functionality.

During my AI Engineering internship, I independently handled a project combining Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). I collected and processed data through web scraping, designed effective prompts for the LLM, set up the document retrieval system for RAG and integrated the model with a Flask application to enable real-time user interaction. This project gave me end-to-end exposure to AI system development, from data collection to deployment.