AI-Powered Full-Stack E-Commerce Platform with Personalized Product Recommendations
PinsoutE-Commerce TechnologyProject Objectives:
Develop a full-stack e-commerce application that recommends products using AI based on user preferences, browsing history, and purchase patterns, improving customer engagement and sales efficiency.
Project Tasks:
Design front-end with responsive UI for product catalog, search, and cart.
Set up back-end with user, product, order, and transaction databases.
Implement secure login and authentication.
Integrate payment gateway securely.
Preprocess user activity data for AI analysis.
Apply ML algorithms to generate personalized recommendations.
Build dashboards for admins to monitor sales and analytics.
Test system for performance, AI accuracy, and usability.
Document architecture, AI workflow, and deployment steps.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Payment Gateway Integration & SecurityDatabase Design & Management –Full-Stack Web Development (React / Angular / Vue + Node.Js / Django / Spring Boot)Data Analytics & Performance OptimizationMachine Learning & Recommendation Systems (Personalized Book Suggestions, User Preference Modeling)
