automated-research-paper-summarizer-citation-finder

https://github.com/shyamsundar5s/automated-research-paper-summarizer-citation-finder

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
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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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 (5.7%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: shyamsundar5s
Language: Python
Default Branch: main
Size: 17.6 KB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created 10 months ago · Last pushed 10 months ago

Metadata Files

Readme Citation

Automated-Research-Paper-Summarizer-Citation-Finder

The Research Paper Summarizer + Citation Finder is a productivity tool designed to assist researchers and students by automating the summarization of research papers and finding relevant citations.

Key Features

Automated Summarization:
- Generates concise summaries of uploaded research papers using state-of-the-art NLP models like T5 or BART.
- Supports different summary lengths (short, medium, detailed) based on user preferences.
Citation Finder:
- Finds related research papers or citations using semantic search powered by Sentence Transformers and vector databases (e.g., Pinecone, FAISS).
- Helps users quickly identify relevant references.
Chrome Extension:
- Provides summarization and citation-finding functionality directly on academic platforms like arXiv and IEEE Xplore.

Owner

Name: Shyamsundar Subramani
Login: shyamsundar5s
Kind: user
Location: Mumbai

Repositories: 1
Profile: https://github.com/shyamsundar5s

Hi 👋, I'm Shyam 💻 Computer Science Engineer | 🔍 Problem Solver | 🎯 Tech Innovator

Citation (citation_finder.py)

from fastapi import APIRouter, HTTPException, UploadFile, Form
from backend.services.citation_service import find_citations
from backend.api.schemas.citation_finder import CitationRequest, CitationResponse

router = APIRouter()

@router.post("/", response_model=CitationResponse)
async def find_related_citations(file: UploadFile, num_results: int = Form(5)):
    try:
        content = await file.read()
        text = content.decode("utf-8")
        citations = find_citations(text, num_results)
        return CitationResponse(citations=citations)
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

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