AI-Powered • Local Processing • Open Source

Research Paper Downloader

An intelligent system for downloading and filtering research papers from legal and open-source repositories using AI-powered relevance checking with Ollama Qwen3:8B

Explore Architecture View Technology Stack

Core Technologies

Leveraging cutting-edge AI and machine learning technologies for enterprise-grade research paper processing with local deployment capabilities

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Advanced Language Processing

Powered by Ollama's Qwen3:8B model for superior natural language understanding. Qwen brings advanced scientific knowledge base and enhanced reasoning capabilities for complex document analysis and technical interpretation

Qwen3:8B Scientific Knowledge Advanced Reasoning Local Deployment Privacy-First

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Intelligent Processing Pipeline

Automated workflow enabling sophisticated research paper downloading, text extraction, and relevance checking with context-aware analysis

Automated Pipeline Multi-Source Search Context Preservation Smart Filtering

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Multi-Source Research Discovery

Integration with arXiv, DOAJ, PubMed Central, and PLOS ONE providing comprehensive research paper discovery and access to diverse academic sources

arXiv DOAJ PubMed Central PLOS ONE Open Access

System Architecture

Engineered for scalability, performance, and reliability with a modular design that ensures efficient processing of complex research documents

Query Input

User submits research query for paper discovery

Source Search

Query multiple academic repositories simultaneously

Download & Extract

Retrieve PDFs and extract text content

AI Relevance Check

Ollama Qwen3:8B analyzes paper relevance

Filter & Save

Organize relevant papers, reject irrelevant ones

Performance Specifications

Optimized parameters engineered for maximum efficiency, accuracy, and enterprise-scale research paper processing

Pages Extracted

Per PDF for analysis

5000

Character Limit

For LLM processing

Processing Delay

Between papers

Query Delay

Between queries

Technology Stack

Strategic technology selections optimized for enterprise deployment, security, and performance with modern development practices

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Core Language & Libraries

Python

Primary programming language with robust ecosystem for data processing and web interactions

Requests

HTTP library for API calls and reliable file downloads with error handling

BeautifulSoup

HTML/XML parsing for extracting structured data from repository APIs

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AI & Machine Learning

Ollama Qwen3:8B

Advanced language model for relevance checking and content analysis with scientific knowledge base

PyPDF2

PDF text extraction for content analysis with efficient page processing

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Research Sources

arXiv API

Comprehensive repository of scientific papers across multiple disciplines

DOAJ API

Directory of Open Access Journals for diverse academic publications

PubMed Central

Free full-text archive of biomedical and life sciences journal literature

PLOS ONE API

Open access scientific publication with rigorous peer review process

Key Features

Advanced capabilities that make our research paper downloader stand out from the competition

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AI-Powered Filtering

Utilizes Ollama Qwen3:8B to intelligently filter research papers based on relevance to your specific query, saving time and storage space

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Multi-Source Discovery

Searches across multiple academic repositories including arXiv, DOAJ, PubMed Central, and PLOS ONE for comprehensive paper discovery

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Privacy-First Design

All processing happens locally on your machine with no data sent to external servers, ensuring complete privacy and security

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Customizable Parameters

Adjustable settings for page extraction limits, character limits, and processing delays to optimize performance for your needs

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Detailed Logging

Comprehensive logging of rejected papers with reasons for transparency and audit purposes

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Organized Storage

Automatically organizes downloaded papers into folders by query with clear naming conventions for easy retrieval