MOVIESTAN

WHAT IS MOVIESTAN?

Movie-stan is an Android App on movie rating and recommendation using machine learning.

The App provides movie detail information, users are able to login with Facebook accounts, can rate and comment on any movies they like, and follow other users.

It will provide different recommendations and predictions based on user behaviors using Machine Learning technologies.

FEATURES

Lastest Movies

Gvie you the latest movie information form THEMOVIEDB.com.

True Recommendation

Using Micorsoft Azure Machine Learning Studio to give the most accurate movie recommendation.

Awards

3rd place of the NPU Capstone Competition in Spring 2017

SCREEN SHOTS

PI-HAO FENG


WEN-TAO LU

CAPSTONE TEAM
NORTHWESTERN POLYTECHNIC UNIVERSITY, SPRING 2017

PI-HAO FENG has over 6 years working experiences in the industry, mostly focusing on Android application and Web application development. Took 15 weeks coures on Machine Learning, MapReduce, and Swift.

He accomplished over 25 projects, over 10 years programing experiences, fast learner and team player. Currently looking for a full-time job in Software Engineer.

WENTAO LU is a master degree student at Northwestern Polytechnic university in Computer Science. Took 15 weeks coures on Machine Learning, MapReduce, Advanced Internet Programming, Mobile Computing for Android Mobile Devices, Mobile Applications on iPhone Platform and etc..And he also has a bachelor's degree in Cell and Molecular Biology from University of Science and Technology of China.

He accomplished over 10 projects, 3 years study in Computer Science and programming experience.He is a fast learner and team player, interested in new technologies. Currently looking for a full-time job starting from summer 2017.

CONTACT US RIGHT NOW!

PI-HAO FENG

Email: coolteygame@gmail.com

Linkedin: https://www.linkedin.com/in/cooltey/

Github: https://www.github.com/cooltey/

WEN-TAO LU

Email: lulu09207@gmail.com

Linkedin: https://www.linkedin.com/in/wentao-lu-a2b090b2/

Github: https://github.com/lulu09207