Winter 2024
• Developed Youtube Video Summary/Keyword Generator, Recommendation System for TED Talks and Podcasts using 3 different models: SBERT, MiniLM, TF-IDF
• Implemented conversational AI interface that engages users in natural language interactions allowing them to learn more about specific aspects of the content in real time
• Techonology used: Streamlit, Python, Langchain Google Gemini API, Youtube Transcript API
Deployed application: https://joobeejung-tldw-tldwstreamlit-app-streamlit-main-ftrv3t.streamlit.app/
Repository: https://github.com/JoobeeJung/TLDW
July 2022 - Aug 2022
• Developed web and mobile applications to book movie tickets with IMDb Open API using Spring, Java, JSP, Javascript, Kotlin
Android application demo : https://youtu.be/vr8JrPZKODM
Web application demo : https://youtu.be/wzRHeXIxSUI
Repository:https://github.com/JoobeeJung/movie_pjt
Repository for native:https://github.com/JoobeeJung/movie_android_kotlin
Oct 2018 - Jan 2019
• Developed healthcare system to recommend proper diet and exercise regimes. Enabled 300 health consultants to provide their services online to 2,000 people with disabilities
• Reduced medical visits and in-person consultations by 60% with system using PHP, JavaScript, MySQL
Repository: https://github.com/JoobeeJung/hdss
Sep 2018 - Dec 2018
• Developed website sharing ‘Mukbang(Eating show)’, recipes, and restaurants from ‘Programming 2’ course
• Won 1st place among 7 groups using PHP, MySQL, JavaScript, HTML and CSS
Repository: https://github.com/JoobeeJung/mat-eat-da
Sep 2018 - Dec 2018
• Analyzed reviews of electronic products from eBay focusing on smartphones and laptops of Samsung and Apple
• Took part in scrapping review data and compared the results with word clouds and distribution of sentiment score from the reviews using R, and Rstudio
Repository: https://github.com/JoobeeJung/R-programming
Sep 2018 - Dec 2018
• Analyzed reviews of top 3 hotels in New York from Booking.com website
• Collected the positive and negative reviews and compared the hotels with word clouds, text clustering, text topic and association using SAS, R, Rstudio, and UCINET
Repository: https://github.com/JoobeeJung/text-mining