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πŸ† Microsoft μ£Όκ΄€ Hack for public good in Korea (KDI κ΅­μ œμ •μ±… λŒ€ν•™μ›μž₯상) - 2nd

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해컀톀 κ°œμš”


κ³΅κ³΅λΆ€λ¬Έμ˜ νš¨μœ¨μ„±μ„ 증진 ν˜Ήμ€ 업무 ν˜μ‹ μ„ μ‹€ν˜„ν•  수 μžˆλŠ” 아이디어 κ°œλ°œμ„ λͺ©ν‘œλ‘œ ν•˜μ—¬ μ°Έκ°€μžλ“€μ€ 주어진 데이터와 도ꡬλ₯Ό μ‚¬μš©ν•˜μ—¬ 20μ‹œκ°„ λ™μ•ˆ 아이디어λ₯Ό κ΅¬ν˜„ν•˜κ²Œ λ©λ‹ˆλ‹€.

The goal is to develop ideas that enhance efficiency or enable innovative practices in the public sector. Participants will use the provided data and tools to implement their ideas over a period of 20 hours.


악성민원 수호자 ν”„λ‘œμ νŠΈ μ„€λͺ…

악성민원 수호자 ν”„λ‘œμ νŠΈλŠ” 곡무원듀이 온라인 μƒμ—μ„œ κ²ͺλŠ” μ•…μ„± λ―Όμ›μœΌλ‘œ μΈν•œ 감정노동 문제λ₯Ό ν•΄κ²°ν•˜κΈ° μœ„ν•΄ AI 기반 μ„œλΉ„μŠ€λ₯Ό κ°œλ°œν•˜μ˜€μŠ΅λ‹ˆλ‹€. 이 μ„œλΉ„μŠ€λŠ” Langchain ν”„λ ˆμž„μ›Œν¬λ₯Ό ν™œμš©ν•œ LLM κΈ°μˆ μ„ ν™œμš©ν•˜μ—¬, μ˜¨λΌμΈμ—μ„œ λ°œμƒν•˜λŠ” μ•…μ„± 민원을 μžλ™μœΌλ‘œ κ°μ§€ν•˜κ³  ν•„ν„°λ§ν•˜μ—¬ κ³΅λ¬΄μ›μ˜ 업무 뢀담을 μ€„μ΄κ³ μž ν•©λ‹ˆλ‹€. 이 μ„œλΉ„μŠ€λŠ” 기쑴의 μˆ˜λ™μ μΈ 방식 λŒ€μ‹ , κΈ°μ‘΄ μ‹œμŠ€ν…œμ— μ‰½κ²Œ 톡합할 수 μžˆλŠ” κ°„νŽΈν•˜κ³  효율적인 λ„κ΅¬λ‘œ μ„€κ³„λ˜μ—ˆμŠ΅λ‹ˆλ‹€.

μ£Όμš” κΈ°λŠ₯:

  • μžλ™ 감지 및 필터링: AIκ°€ 온라인 μ•…μ„± 민원을 μžλ™μœΌλ‘œ κ°μ§€ν•˜μ—¬ ν•„ν„°λ§ν•©λ‹ˆλ‹€.
  • κ°„νŽΈν•œ 톡합: κΈ°μ‘΄ μ‹œμŠ€ν…œμ— μ‰½κ²Œ 톡합할 수 μžˆλ„λ‘ μ„€κ³„λ˜μ—ˆμŠ΅λ‹ˆλ‹€.
  • 비속어 μˆœν™”: 민원 λ‚΄μš© 쀑 비속어λ₯Ό μˆœν™”ν•˜μ—¬ λ”μš± μΎŒμ ν•œ 업무 ν™˜κ²½μ„ μ‘°μ„±ν•©λ‹ˆλ‹€.

Malicious Complaint Guardian project has developed an AI-based service to address the emotional labor issues that public officials face from malicious complaints online. This service utilizes the Langchain framework and LLM technology to automatically detect and filter malicious online complaints, aiming to reduce the workload of public officials. It is designed as a convenient and efficient tool that can be easily integrated into existing systems, replacing traditional manual processes.

Key Features:

  • Automatic Detection and Filtering: AI automatically detects and filters online malicious complaints.
  • Easy Integration: Designed for easy integration into existing systems.
  • Profanity Moderation: Moderates profanity in complaints to create a more pleasant working environment.

데λͺ¨ μ˜μƒ ( Demostration Video )
λ°œν‘œμžλ£Œ ( PDF )

ν”„λ‘œμ νŠΈ ꡬ쑰 ( Project Architecture )


μ•„μ‰¬μ› λ˜ 점 ( Limitations )

  • ν•œκ΅­μ–΄ 비속어 데이터가 맀우 λΆ€μ‘±ν•΄μ„œ ν•™μŠ΅μ„ μΆ©λΆ„νžˆ λͺ»ν•˜μ˜€λ‹€.
  • KISOμ—μ„œ μΆœμ‹œν•œ KSS APIλ₯Ό μ—°λ™ν•΄μ„œ 정확성을 높이고 μ‹Άμ—ˆμ§€λ§Œ λ²•μΈμžˆλŠ” κΈ°μ—…λ§Œ ν—ˆμš©ν•΄μ£Όμ–΄μ„œ μ—°λ™ν•˜μ§€ λͺ»ν–ˆλ‹€.
  • Microsoftμ—μ„œ μ œκ³΅ν–ˆλ˜ OPENAI 토큰이 많이 λΆ€μ‘±ν•΄μ„œ Personal OEPNAI 토큰 μ‚¬μš©μ΄ λΆˆκ°€ν”Όν•˜μ˜€λ‹€.
  • μ‹œκ°„μ΄ λΆ€μ‘±ν•΄μ„œ μ΅œμ ν™” 진행을 많이 λͺ»ν–ˆλ‹€.
  • The lack of sufficient Korean profanity data hindered thorough training.
  • We wanted to enhance accuracy by integrating the KSS API released by KISO, but it was only available to registered corporations, so we couldn't integrate it.
  • The OPENAI tokens provided by Microsoft were insufficient, making the use of Personal OPENAI tokens inevitable.
  • Due to time constraints, we were unable to carry out extensive optimization.

ꡬ성원 ( Members )

Frontend Frontend AI
이정민 고재민 κΉ€ν˜„κ·œ

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πŸ† Microsoft μ£Όκ΄€ Hack for public good in Korea (KDI κ΅­μ œμ •μ±… λŒ€ν•™μ›μž₯상) - 2nd

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