AI-Powered E-commerce Visual Search & Recommendation System

Author: Regis Nde Tene (Chopinregis)

Status: Draft

Duration: 1 Week Deep Dive


Executive Summary

Designed and developed an end-to-end e-commerce application featuring a computer vision-driven visual search and a personalized product recommendation engine. This project integrated frontend UI, backend machine learning model deployment on the cloud, and data science principles to optimize user experience and conversion.

Key Skills

Project Execution Log

Stage 1: UX/UI Design & Frontend Prototyping

Deliverables

Stage 2: Data Acquisition & ML Model Training

Deliverables

Stage 3: API Development & Cloud Deployment

Deliverables

Stage 4: Frontend Integration & CRO Optimization

Deliverables