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Showing results for Supplier Vector
GitHub Repo https://github.com/srahul92/Support-vector-Machine-Project

srahul92/Support-vector-Machine-Project

Wine Fraud :- A distribution company that was recently a victim of fraud has completed an audit of various samples of wine through the use of chemical analysis on samples. The distribution company specializes in exporting extremely high quality, expensive wines, but was defrauded by a supplier who was attempting to pass off cheap, low quality wine as higher grade wine. The distribution company has hired you to attempt to create a machine learning model that can help detect low quality (a.k.a "fraud") wine samples. They want to know if it is even possible to detect such a difference.
GitHub Repo https://github.com/roshini0108/NexMatch

roshini0108/NexMatch

Built an AI-powered intent-driven supplier matching system using NLP embeddings and semantic search to match buyer requirements with supplier capabilities. Implemented transformer-based language models, FAISS vector indexing, and ML-driven ranking to improve relevance and decision quality.
GitHub Repo https://github.com/mohamed-shehata-201/supplier-selection-project

mohamed-shehata-201/supplier-selection-project

This project aim to investigate support vector machine and decision tree predictive power on labelling suppliers overall rating based on different type of features
GitHub Repo https://github.com/panu2306/Supplier-Rating-using-Support-Vector-Machine

panu2306/Supplier-Rating-using-Support-Vector-Machine

#supplierrating #supplier #retail #ml #supportvectormachine #predict
GitHub Repo https://github.com/elizataalaibekkyzy/C-project

elizataalaibekkyzy/C-project

Implement a program in C++ to represent a Factory that sells its production to store suppliers. In this project I worked with classes, methods, structures, stream files, pointers and vectors.
GitHub Repo https://github.com/Chetana2502/Smart-Part-Finder-Your-Trailer-s-Best-Friend

Chetana2502/Smart-Part-Finder-Your-Trailer-s-Best-Friend

Streamlit-based RAG system for natural-language trailer parts search. Features automated web scraping (BeautifulSoup, Selenium), vector embeddings (Sentence-Transformers, ChromaDB), and a LLaMA 3-powered conversational interface for intuitive semantic search across multiple suppliers.
GitHub Repo https://github.com/embroiderydigi/digitizing

embroiderydigi/digitizing

Leading supplier of embroidery digitizing and vector art services
GitHub Repo https://github.com/Ellenella/Apex

Ellenella/Apex

APEX is a multi-step AI agent that analyzes supplier data, evaluates risks, and generates optimized procurement recommendations. It combines vector search, LLM analysis, and real-time data to automate the entire supplier selection workflow.
GitHub Repo https://github.com/Bryan3214-aiz/proyectoUnoEstructura

Bryan3214-aiz/proyectoUnoEstructura

Exercise 1 - Add the corners of the matrices. Exercise 2 - Add the diagonals of the matrices. Exercise 3 - reset vectors, add, query, modify and delete a company's suppliers.
GitHub Repo https://github.com/diegoscodes/multi-agent-rag-supplier-quotation

diegoscodes/multi-agent-rag-supplier-quotation

Multi-agent Retrieval-Augmented Generation (RAG) system for supplier quotation analysis, built with Python, FastAPI and a vector database.