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seung23/README.md

πŸ‘‹ μ•ˆλ…•ν•˜μ„Έμš”, AI와 μ†Œν†΅ν•˜λŠ” μ—”μ§€λ‹ˆμ–΄ λ°±μŠΉμž…λ‹ˆλ‹€

πŸ›  Tech Stack

πŸ’» Language

Python C

🧠 ML / DL

PyTorch OpenCV scikit-learn

πŸ“Š Data

Pandas Polars

🧱 Backend & Vector DB

FastAPI Qdrant

πŸ›  Tools

Git Linux Docker Arduino

πŸ“Œ μ£Όμš” ν”„λ‘œμ νŠΈ

Deep Learning-based Virtual License Plate Synthesis (가상 번호판 ν•©μ„±)

Tech: YOLO, ResNet, OpenCV, AdaIN

μž…λ ₯ (Before) 좜λ ₯ (After)
  • 1인 ν”„λ‘œμ νŠΈ
  • μ°¨λŸ‰ 번호판 탐지 및 비식별화
  • ν•©μ„± 데이터 생성을 μœ„ν•œ End-to-End νŒŒμ΄ν”„λΌμΈ ꡬ좕
  • μ‹€μ œ 데이터 ν™œμš©μ„ κ³ λ €ν•œ μ „μ²˜λ¦¬ 및 μ•ˆμ •μ„± 쀑심 섀계

πŸ”— Repository

AYNIG: All You Need Is Grain (곑물 투자 보쑰 Agent)

Tech: LangChain, LangGraph, Qdrant, FastAPI, vLLM, Ollama


μ‹œμ—° ν™”λ©΄

  • ν”„λ‘œμ νŠΈ 총괄(PM)
  • λ³΅μž‘ν•œ 곑물 μ„ λ¬Ό μ‹œμž₯ 데이터λ₯Ό λΆ„μ„ν•˜μ—¬ 투자 μΈμ‚¬μ΄νŠΈλ₯Ό μ œκ³΅ν•˜λŠ” AI μ„œλΉ„μŠ€
  • Qdrant(Vector DB)λ₯Ό ν™œμš©ν•΄ λ°©λŒ€ν•œ μ‹œμž₯ λ¦¬ν¬νŠΈμ™€ λ‰΄μŠ€λ₯Ό 효율적으둜 κ²€μƒ‰ν•˜λŠ” RAG μ‹œμŠ€ν…œ 및 API 섀계
  • Analysis & Response ν”„λ‘¬ν”„νŠΈ μ—”μ§€λ‹ˆμ–΄λ§

πŸ”— Repository

PAZULE (보물찾기 ν”Œλž«νΌ)

Tech: BLIP, CLIP, Flask


μ‹œμ—° ν™”λ©΄

  • 이미지 인식 기반 문제 ν•΄κ²° ν”„λ‘œμ νŠΈ
  • UX 및 front UI 섀계
  • Vision taskμ—μ„œμ˜ 데이터 μž…λ ₯κ³Ό 검증에 κΈ°μ—¬
  • 파주 μ‹œλ―Ό AI ν˜μ‹  아이디어 κ²½μ§„λŒ€νšŒ μ΅œμš°μˆ˜μƒ

πŸ”— Repository

Book Rating Prediction

Tech: CatBoost, Matrix Factorization, AutoEncoder

  • Rating 예츑 문제 μ •μ˜ 및 평가
  • 데이터 뢄포λ₯Ό κ³ λ €ν•œ μ—¬λŸ¬ 앙상블 둜직 적용
  • λŒ€νšŒ μ΅œμ’… 1μœ„ πŸ†

πŸ”— Repository

Movie Recommendation System

Tech: EASE, BERT4Rec, LightGCN, MultiVAE

  • μ‚¬μš©μžβ€“μ•„μ΄ν…œ μƒν˜Έμž‘μš© 기반 μΆ”μ²œ
  • Side Information을 ν™œμš©ν•œ Hybrid μ ‘κ·Ό
  • λͺ¨λΈλ³„ μ„±λŠ₯ 비ꡐ μ‹€ν—˜

πŸ”— Repository

Trading Bot (Larry Williams Volatility Breakout Strategy)

  • 래리 μœŒλ¦¬μ—„μŠ€ 변동성 돌파 μ „λž΅μ„ λ°˜μ˜ν•œ μžλ™ 맀맀봇
  • ν•œκ΅­νˆ¬μžμ¦κΆŒ REST API

πŸ”— Repository

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