Objective
Project CUBS aimed to develop a language learning platform for the client MyKstar, starting with Korean as the initial language, utilizing machine-learning recognition algorithms and karaoke features to attract investments by the latter half of 2023 and provide an engaging learning experience for users.
This Business Technology team played a crucial role in achieving the objectives of Project CUBS, enhancing the language learning experience on the platform, by personalizing user experiences through the implementation of a secure CRM database for progress tracking, a user-centric database interface, interactive dashboards, and an AI-powered chatbot.
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About Client
This project aims to produce a differentiated language-learning platform for MyKstar. An up-and-rising startup focused on revolutionizing online virtual language learning. With a commitment to expanding and enriching the language learning experience. We are collaborating to incorporate innovative technology features such as karaoke and machine learning handwriting recognition features to enhance learners’ engagement and overall progress.
Collaboration
A Graduate-Student group team at the University of Colombia provided us with extensive research for enriching and improving our collaboration project. On a yearly basis, they specifically select a startup company to deliver their consultation expertise. For this project, MyKstar was the selected client to collaborate with and provide the respective deliverables.
<aside> 💡 Detail:
Columbia 292 Consultation Team
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2023 Spring
(Jan 9th - May 7th)
<aside> 🎓 In collaboration with:
Columbia 292 Consultation Team
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ERD Models - DBMS Management system
Structured Query Language (SQL)
Database Setup and Data Visualization
Deliverables
Next Steps