ITP-459: Generative AI and Natural Language Processing
Fall 2024 | Mondays 5:00 PM - 8:20 PM
Fall 2024 | Mondays 5:00 PM - 8:20 PM
Description: This AI-powered career advisor provides personalized job recommendations based on skill analysis and real-time job market insights. It integrates with Bing and LinkedIn APIs for real-time job search.
Execution Plan: The system uses GPT-4o for skill matching, cosine similarity, and real-time job updates, ensuring accurate and up-to-date recommendations.
Team Members: David Wang, Dracky Wei, Keyu He, Julian Jiang, Qiang Zeng
Description: This AI-powered tool transcribes, summarizes, and allows users to interact with video content through a chatbot. It extracts key insights from lectures, meetings, and online videos.
Execution Plan: The system uses LLM-based summarization, video transcription, and chatbot features to provide interactive question-answering based on video content.
Team Members: Iliyan Valani, Shoaib Valani, Haydee Martinez, Carissa Lin, Tyler Nguyen Tran
Description: A Retrieval-Augmented Generation (RAG)-based assistant designed for answering course-related queries using lecture materials. It enhances learning through real-time, course-specific answers.
Execution Plan: Uses a vector database and LLMs to retrieve relevant course materials, allowing students to receive precise, cited answers with minimal instructor intervention.
Team Members: Evans Alvarez, Lawrance Lui, Ju Lee
Description: HireWizard is an AI-driven job search assistant that matches job seekers to relevant roles based on resume analysis and job posting data.
Execution Plan: Uses NLP-powered resume screening, cosine similarity for job matching, and integrates with job databases like LinkedIn and Indeed to improve hiring outcomes.
Team Members: Thomas Murray, William Norris, Stan Loosmore, Zubin Hydrie
Description: An AI-powered chatbot for customizing sandwich orders and providing personalized meal recommendations using dietary preferences and past orders.
Execution Plan: Implements a step-by-step ordering system, cross-selling features, and AI-powered dietary customization to improve customer experience.
Team Members: Eimon Amjadi, Reha Matai, Eddie Sanchez, Roei Ziv
Description: A virtual AI assistant that answers course-related questions in real-time using Retrieval-Augmented Generation (RAG) and an interactive avatar.
Execution Plan: Uses LLMs for text-based Q&A, voice synthesis for audio responses, and lip-syncing for realistic avatar interactions to enhance student engagement.
Team Members: Emma Guo, Elizabeth Phillips, Jason Liu, Hongkun Gong
