Showing results for LIVE Product Vector
GitHub Repo
https://github.com/esi2tekky/cleo
esi2tekky/cleo
A conversational AI shopping assistant that understands natural language queries and delivers curated fashion recommendations using multimodal embeddings (text + image) and RAG. Built with OpenAI GPT, vector search, and a live product catalog.
GitHub Repo
https://github.com/pratik-w/Predicting_Manufacturing_Failures_for_the_Automobile_Products-
pratik-w/Predicting_Manufacturing_Failures_for_the_Automobile_Products-
A large dataset of manufacturing data of various product as it moves on production lines is provided by Bosch. Predicted failures of products in batch processing using Support Vector Machine, Logistic Regression, Multi-Layer Perceptron and Random Forest algorithm in Apache Spark. Developed real time machine learning application which takes live inputs of product features and predicts failures in real time using Apache Strom
GitHub Repo
https://github.com/Prince4061/Ai-Agent-Hackathode-_-Product-Space
Prince4061/Ai-Agent-Hackathode-_-Product-Space
AI-powered Internal Assistant built for AI Agent Hackathon – Product Space. Uses RAG with vector embeddings + chatbot to fetch answers from scattered docs (Notion, Google Docs, Confluence). Includes GUI & sample PDF dataset. Live demo link available.
GitHub Repo
https://github.com/KARTHIKGODUGOLLA/AI-Product-Recommender
KARTHIKGODUGOLLA/AI-Product-Recommender
AI-powered product recommender using live web scraping + vector search via FAISS + OpenAI embeddings. Supports hybrid RAG from real-time and local data with an agentic AI architecture. Streamlit UI for interactive product search and smart suggestions.
GitHub Repo
https://github.com/BoydBLever/PriceHawk-Agent
BoydBLever/PriceHawk-Agent
Agentic e-commerce search engine using RAG from an internal FAISS vector store and optionally from live web search to generate product recommendations
GitHub Repo
https://github.com/rcasaluce/Django_app-patents_classification
rcasaluce/Django_app-patents_classification
A Django web app that scrapes live patents to predict the proportion of claims classified as product versus process claims. Using TF-IDF vectorization and an XGBoost classifier, it analyzes patent texts to provide the percentage of product claims in each patent.
GitHub Repo
https://github.com/Eveverrylancer/How-to-Create-a-Whiteboard-Animation-video
Eveverrylancer/How-to-Create-a-Whiteboard-Animation-video
Whiteboard animation videos are a great way to explain complex ideas in an engaging and entertaining way. The first step is to create the storyboard of the video. You can do this by sketching out your ideas on paper or using a whiteboard. Sketch out what you want the video to look like, including any animations or props that you need and how they will be used. Next, you will need to work with a designer and illustrator who will turn your sketches into clean vector illustrations that can be animated digitally. The designer will also handle any colouring necessary for the final product. Finally, it’s time to animate! Depending on how much movement is required in your video, animators may use Adobe After Effects or Adobe Illustrator for animation production. The Best Whiteboard Animation Software What is the Production Process of a Whiteboard Video. The process of producing a whiteboard video is not that different from the production process of a live-action video. The only difference is that the animator will have to think about how to create movement without relying on camera cuts. This is done by drawing objects in the scene and then tracing their movement frame by frame. This can be done with any animation software, but it might be easier with some than others.
GitHub Repo
https://github.com/anotidamafuvadze/LuxeFind
anotidamafuvadze/LuxeFind
AI-powered beauty discovery app using OpenAI embeddings and a vector database to perform semantic search over ~10K products, enriched with live pricing, ratings, images, and retailer links via an LLM-driven web pipeline, supporting user accounts, saved favorites, and cost- and latency-optimized caching for fast, personalized results.
GitHub Repo
https://github.com/karanparekh14/sourcewithai-platform
karanparekh14/sourcewithai-platform
AI-powered B2B product sourcing platform. Next.js 16 + Express + FastAPI + MongoDB + Elasticsearch + Redis. Multi-LLM orchestration (GPT-4o, Claude, Gemini), vector search, conversational AI sourcing. Live at sourcewithai.com
GitHub Repo
https://github.com/BikramKC7/Livestock-and-Commodities-Production-Analysis-in-Nepal