Skip to content

SeonghwaPark/research-agent

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 

History

2 Commits
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 
ย 

Repository files navigation

๋งค์ฃผ ์›”์š”์ผ 9์‹œ, AI๊ฐ€ ๋‹น์‹ ์„ ์œ„ํ•ด ๋…ผ๋ฌธ์„ ์ฝ๊ณ  ์ •๋ฆฌํ•ฉ๋‹ˆ๋‹ค.


๐ŸŽฏ ๋ฌด์—‡์„ ํ•ด๊ฒฐํ•˜๋‚˜

๋ฌธ์ œ: AI/์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๋ถ„์•ผ๋Š” ๋งค์ฃผ ์ˆ˜์‹ญ ํŽธ์”ฉ ์‹ ๊ทœ ๋…ผ๋ฌธ์ด ์Ÿ์•„์ง€์ง€๋งŒ, ์—ฐ๊ตฌ์ž๊ฐ€ ๋ชจ๋‘ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ณ  ๋ณธ์งˆ๋งŒ ์ถ”๋ฆฌ๋Š” ๊ฑด ๋น„ํ˜„์‹ค์ ์ž…๋‹ˆ๋‹ค.

ํ•ด๊ฒฐ: arXiv ยท Semantic Scholar ยท Google Scholar ์„ธ ์†Œ์Šค๋ฅผ ์ž๋™ ํด๋ง โ†’ ์ค‘๋ณต ์ œ๊ฑฐ โ†’ Claude API๋กœ ์š”์•ฝ โ†’ ์ธ์‚ฌ์ดํŠธยท์—ฐ๊ตฌ๋ฐฉํ–ฅ ์ œ์•ˆ โ†’ ๋Œ€์‹œ๋ณด๋“œ/๋ฆฌํฌํŠธ ์ž๋™ ๋ฐœํ–‰.


๐Ÿงฌ ์•„ํ‚คํ…์ฒ˜

flowchart LR
    subgraph Sources["๐Ÿ“š Paper Sources"]
        A1[arXiv]
        A2[Semantic Scholar]
        A3[Google Scholar]
    end

    subgraph Agents["๐Ÿค– AI Agents"]
        B1[Paper Fetcher]
        B2[Summarizer]
        B3[Insight Generator]
    end

    DB[(SQLite<br/>Dedup + Storage)]
    UI[Web Dashboard]

    Sources --> B1
    B1 --> DB
    DB --> B2
    B2 --> B3
    B3 --> UI

    Sched[โฐ APScheduler<br/>cron: 0 9 * * 1] -.triggers.-> B1
Loading

โœจ Features

  • ๐Ÿ” ๋ฉ€ํ‹ฐ์†Œ์Šค ํด๋ง โ€” arXiv, Semantic Scholar, Google Scholar ํ†ตํ•ฉ ๊ฒ€์ƒ‰
  • ๐Ÿง  Claude ๊ธฐ๋ฐ˜ ์š”์•ฝ โ€” ํ•ต์‹ฌ ๋ฐœ๊ฒฌยท๋ฐฉ๋ฒ•๋ก ยทํ•œ๊ณ„ ์ž๋™ ์ถ”์ถœ
  • ๐Ÿ’ก ์ธ์‚ฌ์ดํŠธ ํ•ฉ์„ฑ โ€” ํŠธ๋ Œ๋“œ ํด๋Ÿฌ์Šคํ„ฐ๋ง + ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ ์ œ์•ˆ
  • โฐ Cron ์Šค์ผ€์ค„๋ง โ€” ์ •๊ธฐ ์‹คํ–‰ (๊ธฐ๋ณธ: ๋งค์ฃผ ์›”์š”์ผ 9์‹œ)
  • ๐Ÿ—ƒ๏ธ ์ค‘๋ณต ์ œ๊ฑฐ โ€” DOI/์ œ๋ชฉ ๊ธฐ๋ฐ˜ dedup์œผ๋กœ ๋™์ผ ๋…ผ๋ฌธ ์žฌ์ฒ˜๋ฆฌ ๋ฐฉ์ง€
  • ๐Ÿ“Š ๋Œ€์‹œ๋ณด๋“œ โ€” ์ˆ˜์ง‘๋œ ๋…ผ๋ฌธยท์š”์•ฝยท์ธ์‚ฌ์ดํŠธ ์‹œ๊ฐํ™”

๐Ÿ› ๏ธ Tech Stack

Layer Stack
Language Python 3.11+
AI Anthropic Claude API
Sources arXiv API ยท Semantic Scholar API ยท Google Scholar (scholarly)
Storage SQLite
Scheduling APScheduler
Frontend HTML / CSS / JS dashboard

๐Ÿ“ Structure

research-agent/
โ”œโ”€โ”€ backend/
โ”‚   โ”œโ”€โ”€ agents/
โ”‚   โ”‚   โ”œโ”€โ”€ paper_fetcher.py       # ๋ฉ€ํ‹ฐ์†Œ์Šค ํ†ตํ•ฉ ์ˆ˜์ง‘
โ”‚   โ”‚   โ”œโ”€โ”€ summarizer.py          # Claude ์š”์•ฝ
โ”‚   โ”‚   โ””โ”€โ”€ insight_generator.py   # ํŠธ๋ Œ๋“œ/์ œ์•ˆ ์ƒ์„ฑ
โ”‚   โ”œโ”€โ”€ sources/
โ”‚   โ”‚   โ”œโ”€โ”€ arxiv.py
โ”‚   โ”‚   โ”œโ”€โ”€ semantic_scholar.py
โ”‚   โ”‚   โ””โ”€โ”€ google_scholar.py
โ”‚   โ”œโ”€โ”€ database/
โ”‚   โ”‚   โ””โ”€โ”€ models.py
โ”‚   โ”œโ”€โ”€ config.py
โ”‚   โ””โ”€โ”€ main.py
โ”œโ”€โ”€ frontend/                      # ๋Œ€์‹œ๋ณด๋“œ
โ”œโ”€โ”€ data/                          # SQLite + ์บ์‹œ
โ”œโ”€โ”€ .env.example
โ””โ”€โ”€ requirements.txt

๐Ÿš€ Quickstart

# 1) Clone
git clone https://github.com/SeonghwaPark/research-agent.git
cd research-agent

# 2) Virtualenv
python -m venv venv
# Windows
venv\Scripts\activate
# macOS / Linux
# source venv/bin/activate

# 3) Dependencies
pip install -r requirements.txt

# 4) Environment
cp .env.example .env
# .env ํŒŒ์ผ์— ANTHROPIC_API_KEY ์ž…๋ ฅ

# 5) Run
python backend/main.py

โš™๏ธ Configuration (.env)

ANTHROPIC_API_KEY=sk-ant-...
SEARCH_KEYWORDS=AI public relations,artificial intelligence journalism,machine learning advertising
MAX_PAPERS_PER_SOURCE=10
SEARCH_SCHEDULE=0 9 * * 1     # ๋งค์ฃผ ์›”์š”์ผ 9์‹œ
DATABASE_PATH=data/papers.db

๐Ÿ” ๊ฒ€์ƒ‰ ํ‚ค์›Œ๋“œ ์˜ˆ์‹œ

๋ถ„์•ผ ํ‚ค์›Œ๋“œ
AI ร— PR artificial intelligence public relations
AI ร— ์ €๋„๋ฆฌ์ฆ˜ AI journalism media, LLM newsroom
AI ร— ๊ด‘๊ณ  machine learning advertising, generative AI marketing
์œ„๊ธฐ๊ด€๋ฆฌ ChatGPT PR crisis management

โšก "Read less, learn more." โšก

About

๐Ÿ”ฌ ๋ฉ€ํ‹ฐ์†Œ์Šค ํ•™์ˆ  ๋…ผ๋ฌธ ์ž๋™ ์ˆ˜์ง‘ยท์š”์•ฝ ์—์ด์ „ํŠธ (arXiv ยท Scholar ยท Semantic Scholar ร— Claude)

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages