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GitHub Repo https://github.com/carolinewheeler333/thread-trace

carolinewheeler333/thread-trace

ThreadTrace (Prototyping Products with Data and Artificial Intelligence Assignment 1): A Streamlit-based Computer Vision prototype that utilizes feature extraction to map high-level visual aesthetics from Pinterest mood boards onto a vector space of curated second-hand listings
GitHub Repo https://github.com/sanchezmarcelo/Vector-Operations-Tutorial-Website

sanchezmarcelo/Vector-Operations-Tutorial-Website

CSCI 346: Computer Graphics Vector Operations Tutorials inclusive of: Cross Product, Dot Product, Point - Point Subtraction, Vector Normalization, Vector Addition, Vector Subtraction, and Scalar - Vector Multiplication.
GitHub Repo https://github.com/AmanDataGuy/StyleSage

AmanDataGuy/StyleSage

A production-grade visual search system that combines computer vision, vision-language models, and vector databases to enable semantic fashion product discovery.
GitHub Repo https://github.com/migueluap/Sprint4

migueluap/Sprint4

Machine Learning Trainning - Sprint 4. In this project, you will be performing a multimodal classification task for e-Commerce product categorization. Learning about computer vision and NLP: CNNs, image embeddings, tokenization, vectorization, word embeddings.
GitHub Repo https://github.com/jayylmao/lbyarch_mp2

jayylmao/lbyarch_mp2

Our project for our Computer Architecture 2 laboratory class where we compare the performance of C and assembly in performing vector dot products.
GitHub Repo https://github.com/machiwao/Sentiment-Analysis-on-Shopee-Product-Reviews-using-Support-Vector-Machines

machiwao/Sentiment-Analysis-on-Shopee-Product-Reviews-using-Support-Vector-Machines

Sentiment Analysis of Shopee Product Reviews on Computer Category using Support Vector Machines
GitHub Repo https://github.com/vickkykruz/Photo-Contour

vickkykruz/Photo-Contour

Photo Contour is a web application that combines computer vision and interactive vector graphics to create a unique product.
GitHub Repo https://github.com/sharankumar6/Zero-Shot-Retail-Checkout-System

sharankumar6/Zero-Shot-Retail-Checkout-System

This project implements a real-time, zero-shot retail product identification and billing system using computer vision and vector search. It's designed to run on a local machine and uses a Streamlit application for the user interface.
GitHub Repo https://github.com/ankitbatra22/VectorAssist

ankitbatra22/VectorAssist

This project uses computer vision to take an input picture of two hand written vectors, and accurately classify each of the numbers to calculate the dot and cross product of the vectors. I trained the model using the MNIST dataset, and openCV to create contours, the bounding boxes and apply a Gaussian filter.
GitHub Repo https://github.com/Deepali-aggarwal/Visual_Match

Deepali-aggarwal/Visual_Match

Visual Product Matcher > 🔍 =Instant similarity matching using pre-calculated color & brightness vectors. 🎨 Slick UI: Modern glassmorphism design with responsive grid layouts. 💾 Smart Persistence: LocalStorage integration for scan history and session recovery. 🚀 Zero Backend: Pure client-side Computer Vision using HTML5 Canvas API.