movies recommendation using machine learning

Project Title

movies recommendation using machine learning

Project Area of Specialization Artificial IntelligenceProject Summary

To build a fully functional recommendation system, we need 3 components working together. A user interacting with an application through the browser, A web application that can manage movies, users, ratings and Recommendation engine.

Project Objectives

The aim of the project is to develop a Complete Web Application in which the new users have to register and if they are existing user they have to log in. The objectives of the project are:

1.          Using python and its powerful computation libraries for data manipulation.

2.          Machine learning libraries for training our model as in our case it’s a recommender engine.

3.          develop the complete recommendation engine which can suggest movies to the user.

4.          Using web languages to construct the web application.

Project Implementation Method

We will be uisng the ML for first building our recommender engine using scientific libariries like numpy pandas matplotlib and scikit-learn.For recommender engine training we will be using MovieLens dataset available on internet.

Benefits of the Project

Our project aims at first of all on exploration towards recommender systems in ML also exploring the architecture and working algorithms of papular movie sites like Netflix and IMDb.

Also our aims is to build an fully functional web application for users with recommmendations according to thier taste.

Technical Details of Final Deliverable

A fully functional Web application with bachend with python(using python's Web framework Django).

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Media , Others Core Technology Artificial Intelligence(AI)Other Technologies Cloud Infrastructure, OthersSustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
NCS	Equipment	0	0	0
Deep lens	Equipment	1	50000	50000
Nvidia Jetson Nano	Equipment	1	20000	20000