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The Smart Expense Tracker with Auto-Categorization is a cloud-native application built on AWS serverless architecture. The system automates the tedious process of expense tracking by leveraging AWS services to process receipts, categorize transactions, and provide financial insights. The application offers several key features including receipt scanning and data extraction using AWS Textract, automatic expense categorization with AI (using AWS Bedrock), comprehensive expense tracking, budget setting with automated alerts via SNS, and financial report generation in CSV or PDF formats.

Authors: Terry Chen, Kaiwen Che, Matthew Song Abstract Despite advances in large language model (LLM) capability, their fundamental limitation of not being able to store context over long-lived interactions persists. In this paper, a novel human-inspired three-tiered memory architecture is presented that addresses these limitations through biomimetic design principles rooted in cognitive science. Our approach aligns the human working memory with the LLM context window, episodic memory with vector stores of experience-based knowledge, and semantic memory with structured knowledge triplets.

Advised by Prof. Kristian Hammond. Developed LLM product that analyzes real-time audio conversations, detects relevancy and misconceptions, and provides targeted Socratic questions and material suggestions through RAG. Groupal aims to help students work together more effectively and build a deeper understanding in study sessions. The project’s goal is to create a virtual learning assistant that listens to real-time student discussions, detects misconceptions, and facilitates discussions through Socratic questioning techniques and relevant background knowledge retrieval.

PepTalk: AI Journaling Tool Realtime conversation with aI companion to help you note down feelings and journals for the day. (Prototype: https://peptalk-navy.web.app/) What2Do: AI Trip Planning Tool A trip planning tool for generating itinearies based on article url input and content extraction. (Prototype: what2do-51224.web.app) OHours: Office Hour Scheduling Tool An office hour queuing system to improve student experience and help TAs manage questions more efficiently. (Prototype: ohours.web.app/) Credits: Lian Zhang, Janna Lee, Soham Shah, Jonny Kong

Marrrket is an AI-powered second-hand marketplace platform targeting North American university students, initially focusing on Chinese international students. The platform aims to solve the inefficiency in the current second-hand market by simplifying the listing process through AI-generated product descriptions from images and minimal user input. By reducing friction in the listing process, Marrrket will increase the overall volume of second-hand items available in the market, creating a more efficient marketplace for both buyers and sellers. The platform’s innovation centers on using artificial intelligence to dramatically lower the barrier to entry for sellers, which is hypothesized to be the primary constraint on market growth.

Multi-agent system for cross boarder e-commerce sales automation. Co-founder and head of product. https://cognogpt.com Cogno+ is dedicated to revolutionizing global e-commerce by empowering brands with AI-driven assistance that offers seamless, personalized customer experiences. Our mission is to serve as the digital bridge between brands and customers, enhancing interactions and transactions across international markets, and allowing the brand to increase conversion and upsell while reducing time and money spent on manual customer service.