[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