E-Commerce Projects for ME, MTech, Masters, MS abroad, and PhD students. These E-Commerce ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.

Latest E-Commerce Projects

  1. A Flat-Hierarchical Approach Based on Machine Learning Model for eCommerce Product Classification
    This project focuses on improving how online stores automatically classify products into categories using machine learning. It combines two common methods to make product sorting more accurate and efficient. The system was trained and tested on over one million real e-commerce products. The results show that this combined approach gives better accuracy than using a single method alone.
  2. A IoT-Based Framework for Cross-Border E-Commerce Supply Chain Using Machine Learning and Optimization
    This project uses artificial intelligence to make online international trade more efficient. It builds a smart system that predicts how much of each product customers will buy. The system learns from real data to help businesses manage their supply chains better. As a result, deliveries become faster and operations more accurate.
Did you like this research project?

To get this research project Guidelines, Training and Code…