2024-10-26 –, CLASS #3 - 4C
Language: English
Ensuring that the website ranks well on search engines is crucial for visibility and success. This project will showcase a web application designed to check Google rank for specific URLs and analyze website content to extract potential keywords that can boost rankings. Utilizing Flask for the back end, Natural Language Processing (NLP) for content analysis, and Vue.js for an interactive front end, this project offers a comprehensive tool for SEO optimization.
Semrush is one tool that aims to check web performance, especially in SEO, thus this project is highly influenced by the tool built with Flask, NLP-ID, and VueJS
Covering Google rank checking & content analyzer, this project will help developers & SEO specialists know where their site belongs in Google, plus a content analyzer to gain potential keywords from competitors.
This project includes the following key aspects:
Flask: How Flask is used to handle back-end processes, API requests, and data management.
NLP-ID: Implementing the module to parse and analyze web content, identifying keywords that could improve SEO.
VueJS: Creating an interactive and user-friendly front-end interface with to display the results and insights effectively.
Designed for web developers, digital marketers, SEO specialists, and anyone interested in the intersection of web development and SEO. This project will bring an understanding of how to build tools that enhance web visibility and improve Google rankings using modern web technologies.
Front-End Developer, DomaiNesia
Undergraduate student, BINUS
a sprinter in Agile or (sometimes) in marathon