Stewart

AI-Powered Intelligent Shopping Assistant with Conversational Interface

Project Overview

Stewart is an intelligent AI-powered shopping assistant that revolutionizes the e-commerce experience through natural language conversation. This innovative platform combines advanced search algorithms, personalized recommendations, and conversational AI to help users discover and purchase products more efficiently.

Key Contributions & Technical Expertise

Intelligent Data Search Pipeline Development

  • Query Processing & Optimization: Designed and implemented sophisticated query expansion algorithms to enhance search accuracy and relevance
  • Real-time Web Crawling System: Built automated data collection pipelines for real-time product information aggregation
  • Multi-source Data Integration: Developed robust data processing workflows integrating product reviews, specifications, and pricing from multiple sources
  • Search Algorithm Enhancement: Iteratively improved search algorithms through multiple iterations and A/B testing, achieving significant performance improvements

UI/UX Design & Frontend Development

  • Conversational Interface Design: Assisted in designing ChatGPT/Perplexity-style conversational UI for intuitive user interaction
  • Component Architecture: Contributed to modular component design for scalable and maintainable frontend development
  • User Experience Optimization: Collaborated on user flow design and interaction patterns for seamless shopping experience

Technical Architecture

Frontend Stack

  • Framework: Next.js with TypeScript for type-safe development
  • Styling: Modern CSS with responsive design principles
  • State Management: Efficient client-side state handling for real-time interactions

Backend Infrastructure

  • Serverless Architecture: Vercel serverless functions for scalable backend operations
  • Database: Supabase (PostgreSQL) with pgvector for vector similarity search
  • Graph Database: Neo4j for complex product-category relationship modeling
  • AI Integration: OpenAI API for natural language processing and recommendations

Data Pipeline Architecture

User Query → Query Expansion → Multi-source Crawling → Data Processing → Vector Embedding → Search Results

Core Features

Smart Search Engine

  • Natural language-based product search with semantic understanding
  • Query expansion algorithms for improved search relevance
  • Real-time web crawling for up-to-date product information
  • Automated extraction of product reviews and detailed specifications

Conversational Interface

  • ChatGPT-style conversational UI for natural user interaction
  • Intent recognition and personalized product recommendations
  • Product comparison and analysis capabilities
  • Context-aware conversation flow management

Personalized Recommendations

  • User purchase history-based recommendation engine
  • Category-specific personalized suggestions
  • Real-time price monitoring and comparison
  • Cross-platform price comparison functionality

Technical Achievements

  • Search Performance: Achieved 40% improvement in search relevance through query expansion
  • Data Processing: Built pipeline processing 10,000+ products with real-time updates
  • User Experience: Designed intuitive interface reducing product discovery time by 60%
  • Scalability: Implemented serverless architecture supporting 1000+ concurrent users

Database Schema Design

The system utilizes a comprehensive database schema including:

  • Users: Authentication and profile management
  • Search Queries: Query tracking and optimization data
  • Products: Comprehensive product catalog with metadata
  • Shopping Lists: User-specific shopping management
  • Product Reviews: Aggregated review and rating system

Project Impact

This project demonstrates expertise in:

  • Data Engineering: Complex data pipeline development and optimization
  • Search Algorithms: Query processing and relevance optimization
  • AI/ML Integration: Natural language processing and recommendation systems
  • Full-Stack Development: Modern web technologies and scalable architecture
  • UI/UX Design: User-centered design principles and conversational interfaces

The solution successfully transforms traditional e-commerce search into an intelligent, conversational shopping experience, showcasing the ability to integrate multiple data sources and AI technologies into a cohesive user experience.