Sope Ecommerce Platform

🏗️ Architecture

Sope is built on a microservices and modular architecture that ensures scalability, reliability, and flexibility:

Backend

• Main service: Spring Boot (Java)
  Provides core e-commerce functionalities such as:
  • User management
  • Product catalog
  • Orders and payments
  • Cart and wishlist management
  • Admin management
• AI Services: FastAPI (Python)
  Handles all AI and machine learning workloads:
  • Recommendation algorithms
  • Smart review aggregation
  • Dangerous product detection
  • Chatbot and NLP tasks

Frontend

• Client: Next.js
  • Responsive web interface for users
  • Product search and filtering
  • Personalized recommendations and smart reviews
  • Real-time chat with WebSocket
  • Livestream shopping support via LiveKit
• Admin panel: React.js
  • Dashboard for monitoring users, products, orders
  • AI insights and analytics
  • Content moderation tools

Database & Caching

• PostgreSQL: Main relational database for storing structured data (users, orders, transactions).
• MongoDB: Stores semi-structured data like product metadata, reviews, and AI-generated insights.
• Redis: Caching layer for high-performance data retrieval and session management.

Search & Analytics

• Elasticsearch:
  • Full-text search for products
  • Search similar products using BLIP image caption-based search
  • Fast and scalable query performance for millions of products

Real-Time Communication

• WebSocket: Real-time messaging between users and support agents
• LiveKit: Supports live video shopping sessions

Deployment

• Docker: All services containerized for portability and reproducibility
• AWS EC2: Hosting of backend, frontend, and microservices
• AWS S3: Storage for AI models, images, and large datasets

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🤖 Intelligent Features

Sope integrates multiple AI-driven and smart features to enhance user experience and platform safety:

Recommendation Systems

• User-based Collaborative Filtering (User CF): Suggest products based on similar users’ preferences
• Content-based Filtering: Recommend products similar to those a user has liked or purchased
• Itemset Frequency Analysis: Detect frequently bought-together products

Product Search & Similarity

• Search Similar Product: Uses BLIP image captions to find visually or semantically similar items
• Sentiment Analysis: Analyze product reviews to classify feedback as positive, negative, or neutral
• Smart Review Aggregation: Combines all reviews to generate an objective overall score

Safety & Moderation

• Dangerous Product Detection: YOLO object detection identifies hazardous products in images
• Content Moderation: Automated check for banned words or inappropriate content in product names and descriptions

User Interaction

• Chatbot Agent: AI assistant helps users navigate, answer FAQs, and provide support
• Face Authentication: Uses FaceMesh + InsightFace to verify user identity for secure login and payment

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🛠️ Technology Stack

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🌟 Key Differentiators

• Smart Recommendations: Personalized product suggestions using multiple AI algorithms
• Safety-first: Automated detection of dangerous products and content moderation
• Real-time Interactions: Chat, livestream shopping, and instant notifications
• Objective Reviews: Smart review system consolidates all reviews for unbiased ratings
• AI-powered Authentication: Face recognition for secure user verification
• Flexible Architecture: Microservices-based design with Docker and cloud deployment
• Live Demo

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Sope is not just an e-commerce platform — it is a smart, outstanding, persionalize, effective shopping ecosystem that leverages AI, real-time communication, and intelligent insights to deliver a personalized and seamless user experience.