23 results for “topic:shopping-assistant”
The creative suite for character-driven AI experiences.
E-commerce platform powered by agents with vector search, recommendations, order/cart management capabilities.
🛒 An intelligent shopping agent powered by LLMs. Cross-platform search (JD, Taobao, Vipshop), AI-driven product analysis, and smart scoring reports. 全网比价,AI 决策购物助手。
AI-based shopping assistance for both man and woman using transfer learning and statistics like Cosine and Pearson similarity metrics. Thus saving users' time to scroll multiple ecommerce websites to get products of their choice.
Voice-Enabled Multi-Agent Shopping Assistant with RAG, web search tools, and an MCP server powering real-time product reasoning and recommendations.
Amazon Tracker archives user-provided product URLs and associated emails, systematically assesses URL-based product data, and triggers notifications and email alerts to apprise users of price reductions below predefined maximum thresholds, thereby enhancing user decision-making for economical purchases.
Walmart MCP Server: Connect AI agents (e.g. Claude Desktop, Gemini CLI) to Walmart via Model Context Protocol. Real-time product search, item lookups, stock, customer reviews, store locations, bestsellers, and smart recommendations. Optimized for shopping assistants, e-commerce automation, and retail market analysis. Node.js, TypeScript, MCP.
Shopping assistant that will make your life easier and reduce the time you spend shopping in the local store.
A grocery shopping assistant that wraps a grocery store’s web API with intelligent product selection, price tracking, and more. Automated agent integration via MCP (Model Context Protocol).
Intelligent voice-powered shopping assistant combining Gemini & Llama-3 (Groq) to prevent shock bills. Built with React Native, Expo, and Supabase.
Python Pytorch An Flipkart based AI-NLP Assistant
AI-Powered Smart Shopping Assistant for Indian E-Commerce
🛒 Connect AI agents to Walmart's ecosystem using the Model Context Protocol for real-time data access and enhanced product search capabilities.
AI-driven product recommendation system designed to create relevant bundles and increase sales.
An AI-powered shopping assistant that recommends top products based on user preferences like product type, color, features, and budget — using the DeepSeek LLM and Firecrawl search tools.
🛒 AI Shopping Advisor | Multi-platform analysis, fake review detection, price prediction | Save money, avoid regret ⭐
Smart shopping assistant that monitors product prices, sends email alerts when prices drop, and uses AI to find better deals. Built with FastAPI, React, and OpenAI embeddings.
AI-powered product search and conversational shopping assistant for WooCommerce stores.
CartIQ is a Python-based web application designed to assist users in making informed purchasing decisions. The system analyzes structured product data and generates recommendation insights using a modular architecture built with Flask. It focuses on providing a scalable backend structure for product evaluation, comparison, and decision support.
Shopping, Selling, In-app local delivery, Shopping-assistant, Search, Simple user interface
An advanced MERN stack e-commerce platform integrated with a Python-based ML inference server, featuring real-time computer vision virtual try-on capabilities using MediaPipe pose estimation and OpenCV image processing for immersive fashion shopping experiences.
An AI-powered shopping assistant browser extension for amazon.in & flipkart.com.
Agentic Commerce Protocol (ACP): Next.js 16 API + product pages for GoGoCash AI Shopping Assistant, with Firestore search, affiliate tracking, and cashback.