Lipstick Recommendation Engine

Project Overview

The Lipstick Recommendation Engine is a React-based web application designed to simplify the decision-making process for consumers in the rapidly expanding lipstick market. This project leverages data-driven insights from YouTube, utilizing a combination of metrics to recommend the top lipstick choices to users.

Current Problem

• Market Diversity: The cosmetic industry, particularly the lipstick segment, has seen a substantial increase in product diversity, presenting consumers with numerous options.
• Decision Paralysis: This abundance creates a challenge, leading to overwhelm and uncertainty about the most suitable choices.
• Information Overload: Consumers face difficulties due to conflicting information from various online sources, making it hard to make well-informed decisions.

Proposed Solution

• Data-Driven Insights: Our model identifies the ten most sought-after lipstick types by analyzing key metrics from highly viewed YouTube lipstick recommendation videos.
• Robust Scoring System: It considers factors such as the frequency of mentions, popularity metrics (likes and subscriber counts), and sentiment analysis of comments to determine product scores.
• User-Centric Approach: The platform enables users to refine search criteria using filters like price, benefits, and color preferences, helping them find the best lipsticks.

Search Engine

• ReactJS Interface: Developed using ReactJS, offering a dynamic and responsive user experience.
• Advanced Filtering: Users can effortlessly sort and filter lipsticks based on their specific preferences, guided by a scoring system that ranks lipsticks based on their popularity and user feedback.

Getting Started

Prerequisites

• Node.js
• npm or yarn

Installing

Clone the repository to your local machine:

git clone https://github.com/VivianRMS/Lipstick-Expert.git

Installation

Then, install the required packages:

npm install

Run with

npm start

You can also visite the deployed website LipstickExpert