{"repo":"aurumz-rgb/ReviewAid","free":true,"listed":false,"github":"https://github.com/aurumz-rgb/ReviewAid","clone":"git clone https://github.com/aurumz-rgb/ReviewAid.git","description":"AI-Driven Full-Text Screening and Data Extraction for Systematic Reviews and Evidence Synthesis","language":"Python","stars":10,"topics":["academic-research","ai-assistant","ai-tool","data-extraction","literature-review","medical-research","open-source","python","research-ai","research-automation"],"license":"Apache-2.0","category":"scrapers-browser-automation","readme_excerpt":":21-4b8bbe) Code & Archive (Zenodo DOI): 10.5281/zenodo.18060972 Journal of Open Research Software: 10.5334/jors.672 ReviewAid Validation Repository: ReviewAid Validation GitHub Repo ReviewAid is an AI-powered Research article full-text Screener and Extractor designed to streamline the systematic review process. Upload research papers, automatically screen for relevance, extract key data fields, and accelerate your literature review workflow — all in one intuitive, easy-to-use web tool. --- Quick Start ⚡ Usage (Online) 1. Launch Online Streamlit hosted web app 2. Select Mode: Full-text Paper Screener: Choose this mode to screen papers based on PICO (Population, Intervention, Comparison, Outcome) criteria. Full-text Data Extractor: Choose this mode to extract specific fields (Author, Year, Conclusion, etc.) from research papers. 3. Workflow (Screener): Enter your PICO criteria (Inclusion/Exclusion) in the input fields. Upload your PDF papers (Batch upload supported). Click \"Screen Papers\". Monitor the \"System Terminal\" for real-time logs of extraction, API calls, and processing status. View the \"Screening Dashboard\" for a pie chart of Included/Excluded/Maybe decisions. Download results as CSV, XLSX, or DOCX. 4. Workflow (Extractor): Enter the fields you want to extract (comma-separated). Upload your PDF papers. Click \"Process Papers\". Monitor the \"System Terminal\" for logs. View extracted data in the dashboard. Download extracted data as CSV, XLSX, or DOCX. 5. Configuration: F","default_branch":null,"files":null,"tree":[],"storefront":"/r/aurumz-rgb","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aurumz-rgb/ReviewAid/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}