This project will allow the participant to create a recommendation engine for beauty products such as foundation, concealer, lipstick, etc. from scratch using machine learning algorithms using different kinds of filters such as complementary filters, collaborative filters, hybrid filters, etc. and identify the kinds of recommendation engine most suited for a particular dataset.
Participants will be required to generate a database using web scraping from given sources. Following data pre-processing, they will be required to use different kinds of filters to construct a product recommendation engine.
This project will help students understand machine learning algorithms and allow them to gain a foothold in the retail industry.
Duration: 3-6 Months (Online – Offline, Instructor based)