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Description
Open Source Papers with Code Alternative - Collaboration Invitation
I'm working on developing an open-source alternative to Papers with Code with enhanced AI capabilities. We're looking for collaborators and would welcome support from educational institutions.
Proposed Features:
- Core Papers with Code functionality (paper discovery, code linking)
- AI-powered peer review assistance
- Intelligent paper recommendation system
- Paper authenticity verification tools
- Enhanced discoverability for high-quality research
Why This Matters:
The academic publishing landscape faces challenges with paper discoverability and quality assessment. Our goal is to create a platform that helps researchers find genuinely valuable work more efficiently while providing AI-assisted tools for evaluation and recommendation.
Looking For:
- Developers interested in open-source academic tools
- Educational institutions willing to provide backing/funding
- Researchers with domain expertise in academic publishing
- Contributors with experience in recommendation systems or ML
Contact:
If you're interested in collaborating on this project, please reach out via WhatsApp: +917016525813
We believe the research community deserves better tools for discovering and evaluating academic work, and we'd love to build this together as an open-source initiative.
This version:
- Removes unprofessional language and personal opinions
- Focuses on the technical vision and collaboration opportunity
- Maintains a constructive tone appropriate for GitHub
- Clearly outlines the project goals and what you're seeking
- Keeps the contact information but in a more professional context