Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.8%) to scientific vocabulary
Repository
Research Paper optimization
Basic Info
- Host: GitHub
- Owner: pawankulkarni87
- Language: Python
- Default Branch: main
- Size: 12.7 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Research-Paper
Research Paper optimization I have incorporated this project by using Langchain and Mistral model, which will tells us how to summarize the research paper, also what are strengths and weakness of the paper. AI Agents plays important role in searching, downloading, and summarizing the paper. Thank you OmarTamer
sci-nav/ ├── backend/ │ ├── agent/ │ │ ├── langgraphflow.py │ │ ├──wrapper.py │ │ ├── compare.py │ │ ├── citation.py │ │ └── utils.py │ ├── flaskapp | |--- _inti__.py | |-- views.py │ └── requirements.txt ├── frontend/ │ ├── static/ │ │ │ ├── Chat.jsx │ │ │ └── index.html
Owner
- Login: pawankulkarni87
- Kind: user
- Location: Mumbai
- Company: Kantar
- Repositories: 1
- Profile: https://github.com/pawankulkarni87
Citation (citation.py)
import re
def extract_citations(text: str):
"""
Extracts senetences with in-text citation like (Author,Year, Title) and
return surrounding context.
"""
pattern = r"([^.]*?\([A-Z][a-z]+, \d{4}\)[^.]*\.)"
matches = re.findall(pattern, text)
contexts=[{"citation":match.strip(), "context": match.strip()} for match in matches]
return contexts
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3
Dependencies
- flask *
- flask-cors *
- ipython *
- langchain *
- langchain-community *
- langchain-core *
- langgraph *
- markdown *
- ollama *
- pdfplumber *
- pydantic *
- python-dotenv *
- requests *
- urllib3 *