Projects/AI & DS/Personalized E-Commerce Product Recommendation System
Artificial Intelligence & Data ScienceMajor Final Year Project
Personalized E-Commerce Product Recommendation System
Project Overview & Abstract
Advanced Recommendation Engine for AI&DS and CSE final-year students. Combines content-based filtering with SVD matrix factorization, React frontend UI, FastAPI backend, IEEE report, and PPT.
Technologies & Tools Used
PythonCollaborative FilteringSurpriseFastAPIReact
Deliverable Package File Contents
Source Code ZIP Archive
Complete executable project folder with all scripts & configuration.
IEEE Project Report (.docx & PDF)
Includes Abstract, Literature Survey, System Design, Data Flow, Test Cases, and References.
PPT Presentation Deck (.pptx)
Ready 15-20 slide presentation deck formatted for university viva evaluation.
Complete Deliverables PackageVERIFIED
Source Code, IEEE Report & PPT
Direct WhatsApp Order • Instant Deliverables & SupportStudent Sign In required to place order • Instant WhatsApp Delivery
Verified Source Code (ZIP)
Formatted IEEE Project Report (.docx/PDF)
Seminar PPT Presentation
Execution Video & Setup Guide
Direct WhatsApp Delivery • Instant Chat at +91 73823 24346