Welcome to my GitHub profile! I'm a passionate B.S. student at Soongsil University in Seoul, specializing in Artificial Intelligence and Deep Learning. Currently, I’m interested in and studying Brain AI and Computer Vision in the Medical field.

- Name: Jungyu Kang - Position: B.S. Student - University: Soongsil University, Seoul 06978, Republic of Korea - Email: shinysky5166@soongsil.ac.kr - Phone: +82) 010-5166-2110 - GitHub: github.com/KangJunGyu

• Programming Languages: Python, C, Java
• Frameworks & Libraries: OpenCV, Scikit-Learn, YOLO, ...
• Tools & Platforms: Colab(Jupyter), PyCharm, Linux
• Databases: MySQL

B.S. in Software Major, Convergence Major in Big Data

Soongsil University | 2019 ~ current

• Relevant Courseworks
  • Data Mining
  • Deep Learning Analysis
  • Computer Vision
  • Machine Learning
  • Network Security with AI
  • Big Data Analysis
  • Artificial Intelligence

• A Real-Time Passport Photo Compliance Verification Service using Computer Vision

  September 2023 ~ current

  • Role: AI model
  • Skills: Object Detection with Yolo v5, Data Labeling with Roboflow
  • Studies for Project : Knowledge Distillation for Object Detection, Generative AI

• Video Summarization with ChatGPT

  March 2023 ~ June 2023

  • Role: AI model
  • Skills: STT with WhisperX, Editing Video with FFmpeg, NLP with Cosine Similarity, OpenAI API (ChatGPT)

• Deep Learning Analysis with PHE Dataset

  May 2024 ~ June 2024

  • Skills: Comparison of Optimizers, SNP Selection, Scaling for Standardizing, Regularization

• MNIST Classification with Representation Learning

  November 2023 ~ December 2023

  • Skills: Convolutional Layer Configuration, Focal Loss

• Correlation Analysis between Weather and Music Streaming

  May 2023 ~ June 2023

  • Skills: Hub API (KMA), Website Crawling (gene music), Regression Model, Data Labeling

• "A Study on Video Summarization Model Using ChatGPT"

  Wonho Lee, Jungyu Kang, Nayoung Seong, Suhyeon Cho, Youngjong Kim (Soongsil University)

  • Presented at: Annual Spring Conference of KIPS, 2023
  • This study proposes a novel approach to video summarization by leveraging ChatGPT. Using WhisperX for Speech-to-Text (STT) conversion, the extracted video subtitles are summarized through ChatGPT. The most relevant parts of the video are identified by analyzing text similarity using cosine similarity, which allows for an efficient and accurate video summarization process.
    • Keywords : Video Summarization, ChatGPT, Speech-to-Text (STT), Natural Language Processing (NLP), WhisperX

Thank you for visiting my profile! Feel free to explore my repositories and reach out if you have any questions or opportunities to collaborate.