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This project contains product data from HEB. It functions as a search algorithm to effectively query the product data using semantic modeling.
This Python-powered dashboard brings Mai Shan Yun’s data-driven vision to life — turning raw restaurant data into clear, actionable insight.
This MCP server lets you get the title of a video, comments, and more, to help you find helpful videos to use!
AI-powered grade intelligence for Texas A&M students. Ask Claude, "who's the best professor for CSCE 221?" and get instant answers from 6,190+ sections. Data-driven course selection, optimized GPAs.
Stay hidden and stay safe
With the difficulty of transitioning to college life, having an assistant who knows everything about your campus can be a huge help. Our MCP, College Compass, uses many APIs to help your college life!
RegDoc is an AI powered document intelligence system designed to automatically analyze and classify regulatory and business documents into 4 categories.
AI-powered web app that generates personalized book recommendations based on the user's interests
This project is an MCP server that turns fitness goals into real routes. Give it “burn 300 calories near Texas A&M” and it calls Google Maps to build a walkable loop and return AI-ready context.
The "Code Red" DevOps Assistant
AI Document Detective - powered by Mistral and LLaMA, guided by human experts, built for real-world security and compliance
AI‑powered document risk classification with dual‑model verification, clear evidence, and HITL feedback.
We’re building an intelligent, data-driven dashboard for Mai Shan Yun that helps managers make smarter inventory decisions.
A comprehensive inventory intelligence dashboard that transforms restaurant operational data into actionable insights for optimizing inventory management, reducing waste, and improving profitability.
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Assess flight delay risks with precision — powered by live weather, TSA, and historical data.
Case Closed
Reinforment learning? Machine learning? Algorithms? Did the agent learn?
Our bot!!
The agent uses MiniMax and should be utilizing different reinforcement learning to work!
Snake game
This reinforcement learning model has been trained against a variet of opponents.
no
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