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Books Recommender System

This project focuses on developing a book recommendation system that utilizes machine learning techniques. The primary goal is to provide personalized book suggestions to users, thereby enhancing their reading experiences and encouraging exploration of diverse literature.

13 lectures

What You Will Learn

Master the end-to-end Machine Learning lifecycle for Recommender Systems.
Learn to build and manage modular ML pipelines (Ingestion, Validation, Transformation, Training).
Understand how to deploy ML models as interactive web applications.
Learn containerization of ML applications using Docker.

System Architecture

Books Recommender System Architecture Diagram

High-level architecture overview of the Books Recommender System .

What You'll Build

  • An automated ML Pipeline that handles data ingestion, validation, preprocessing, and model training
  • A user-friendly Web Application tailored for real-time recommendations and poster fetching.
  • A Dockerized application ready for cloud deployment (AWS/Azure).

Project Instructor

Boktiar Ahmed Bappy

Boktiar Ahmed Bappy

5+ years exp
LinkedIn
Books Recommender System
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