Student Crowdfunding and Recommendation System

Abstract

There has consistently been a need of a stage where understudies can share their projects and popularize it. This paper focuses at not only providing this platform but also help publishing projects developed by students. This project will allow students to put their projects up and get recommended with similar kinds of projects from other students to reduce duplication of efforts. As it will enable understudies and industry work force to coincide on one platform, the project will get exposure and contributions from the industry. Functionality of financing a project will be given which will help in deployment and ubiquity of the venture. Considering the various trends in the Machine learning branch, Item-based Collaborative system, and Content-Based Collaborative system can be used to build a recommendation system.