AcaLink PAS

A state-of-the-art Blind-Match Project Approval System designed to eliminate unconscious bias in academic supervision. Built for the PUSL2020 module, it ensures that project matching is driven purely by technical merit and research alignment.

ASP.NET CoreSQL ServerTailwind CSSSignalRxUnit

Challenge Tech Stack Core Outcome Outcomes

Fairness

100%

Blind reviews

Efficiency

Real-Time

SignalR Sync

Quality

TDD

xUnit + Moq

🛠️ Technology Stack

Framework & Quality

•ASP.NET Core 10 (MVC Architecture)
•xUnit + Moq (Test Driven Development)

Database & Real-Time

•SQL Server + Entity Framework Core (Code-First)
•SignalR WebSockets

Frontend & UI

•Glassmorphism UI via Tailwind CSS 4.0

Challenge

Traditional project matching introduced unconscious bias and manual inefficiencies, making it difficult to align students and supervisors purely based on technical merit.

Core Outcome

The final experience centered on a single source of truth for operations, designed to reduce friction across ordering, fulfillment, and stock visibility.

Impact

Eliminated bias through blind reviews and streamlined the approval workflow with a robust 4-vector scoring algorithm and real-time syncing.

Approach

Engineered a Blind Review Dashboard where supervisors evaluate proposals without knowing student identities.
Implemented a 4-vector scoring heuristic (Research Area, Tech Overlap, Keywords, Workload) for optimized matching.
Developed Identity Reveal Logic, disclosing identities only after a formal interest match is confirmed.
Designed specialized, role-based interfaces for Students, Supervisors, Module Leaders, and Admins.

Outcomes

Successfully deployed a bias-free matching environment for the PUSL2020 module.
Enabled instant, real-time synchronization and notifications powered by SignalR WebSockets.
Achieved high code quality and reliability through Test Driven Development (TDD).

Next Steps

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