Project Case Study | Kade Showcase

A large-scale project in collaboration with several public and private entities to track and analyze illegal websites.

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Automated Detection and Collection of Illegal Content
- Developed a system capable of automatically detecting and collecting over 10,000 cases daily.
- Covered a wide range of digital content, including videos, torrents, webtoons, and various copyrighted materials.
Significantly Reduced Manual Workload for Operators
- Implemented a custom AI-powered classification system to assist operators in analyzing illegal content.
- Automated decision-making processes reduced the need for human intervention, improving efficiency and accuracy.
AI-Based Content Identification for Copyright Protection
- Developed text-based, video frame-based, and metadata-based identification algorithms.
- Enabled precise tracking of specific copyrighted materials, even across modified or re-encoded formats.
Fully Automated Workflow with Celery, Containers, and Selenium
- Designed a Celery-based distributed system for scalable data collection and processing.
- Leveraged containerized architecture for flexible deployment and seamless scalability.
- Automated data scraping, classification, and reporting using Selenium and other web automation tools.

Key Contributions

Conducted preliminary research on AI-based web scraping technologies.
Drafted proposal documents and presentation materials after analyzing requirements.
Developed a distributed data collection system using RabbitMQ and Python Celery.
Created algorithms for automatically tracking over 300 illegal website domains.
Designed APIs to check the visibility of illegal websites on Google and Naver search engines.
Proposed new UI features and designed database schemas (ERD).
Implemented PostgreSQL integration using Peewee ORM.
Refactored legacy service code, reducing code size by 80%.

Contributed to winning project bids and took a lead role in ensuring code quality for one of the two teams.

Contributed to securing major project bids, generating an estimated annual revenue of KRW 2 billion.
Played a key role in positioning the project as a flagship success case, leading to further expansion and recognition as a best practice model for 2025.