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A full-stack AI-powered product recommendation engine that analyzes customer behavior, purchase history, and preferences to deliver personalized suggestions. Built with a Python Flask backend and React frontend, this solution implements three core recommendation algorithms: collaborative filtering (user-based and item-based), content-based filtering using TF-IDF vectorization, and a hybrid approach that combines both methods for improved accuracy.

 

Designed for developers, agencies, and e-commerce businesses seeking to add intelligent product recommendations to their platforms. The system includes a complete REST API with endpoints for user recommendations, similar products, trending items, interaction tracking, and analytics. A web-based dashboard provides access to system statistics, product catalogs, recommendation testing, and performance metrics including click-through rates and conversion tracking.

 

Key capabilities include:

  • Multiple recommendation algorithms with configurable weights
  • Cold-start handling for new users and products using popularity-based fallbacks
  • Price, category, and stock availability filtering
  • Model training pipeline with evaluation metrics (Precision@K, Recall@K, NDCG, Coverage, Diversity)
  • Synthetic training data generator to improve coverage and protect user information
  • SQLite database with SQLAlchemy ORM (upgradeable to PostgreSQL)
  • Comprehensive API documentation and architecture guides
  • Unit tests for API endpoints, data processing, and recommendation algorithms
  • Setup scripts for Windows, macOS, and Linux

 

Requirements: Python 3.8 or higher, Node.js 16.x or higher, 4GB RAM minimum (8GB recommended).

 

IMPORTANT NOTE: This application has been fully developed with all features implemented. However, it has not been tested in a live production environment. Buyer should expect to perform integration testing and may encounter minor bugs that require fixing. Basic technical knowledge and development skills are required.

 

NO REFUNDS: Due to the digital nature, all sales are final.

 

LICENSE TERMS: Seller retains full ownership and control. Purchase grants a non-exclusive, non-transferable, perpetual license—AS IS, no support/updates, no refunds, no other obligations. Buyer may build and operate a materially new, closed-source product (including SaaS/paid service) for their own business/customers. Buyer may not open-source or disclose the application, nor resell, redistribute, rebrand, sublicense, or use the application (or any derivative) to create a competing or substantially similar product. License terms may be updated or changed at any time; continued use constitutes acceptance.

AI Product Recommendation Engine

$767.00 Regular Price
$379.67Sale Price
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