[Project] Academic Recommendation System

March 2020 - September 2021

Target Audience: Researchers, Academics, and Students

Affiliation: Full-Stack Developer at AVID Technology Development Co., Rasht, Iran

  • Enterprise-grade Platform: designed to accelerate scientific research by optimizing publishing paths, automating venue discovery, and facilitating global academic network expansion.
  • Multi-Dimensional Discovery Engine: implements intelligent matching algorithms to recommend optimal peer-reviewed publishing venues and high-impact academic conferences.
  • Cognitive Network Mapping: dynamically cross-references expansive citation and author metadata profiles to suggest relevant domain experts for collaborative research initiatives.
  • High-Performance Inverted Indexing: uses Elasticsearch to deliver sub-second search latencies across massive databases of papers.
  • 💡 Stack: Node.js, Next.js, React.js, TypeScript, Elasticsearch