NTU AI Shortlisting System

NAIS – NTU AI Shortlisting System

Synopsis

NAIS (NTU AI Shortlisting System) is an AI-powered admissions solution that streamlines application screening by analysing holistic student attributes beyond academics. It combines profile summarisation and classification, multi-factor scoring, adaptive shortlisting, and decision support to enhance efficiency, fairness, and scalability while keeping human evaluators in the loop for crucial decision making.


Opportunity

NAIS offers transformative potential across a wide range of applications. In the higher education sector, it streamlines university admissions by efficiently shortlisting applicant profiles, supporting scholarship committees in shortlisting candidates against specified criteria, and helping institutions identify exceptional talent in academics, sports, or research, enhancing overall institutional excellence. Educational consulting firms can also leverage NAIS to provide AI-powered assessment services, adding significant value to their offerings.

Beyond education, NAIS’ capabilities extend to any domain that requires profile screening and selection based on predefined criteria. Its adaptable framework can be applied to recruitment, talent acquisition, membership selection, and other sectors where identifying the right candidates efficiently is critical. By providing scalable, consistent, and insightful assessments, NAIS opens opportunities for organisations to make smarter, faster, and fairer selection decisions, unlocking untapped potential and driving better outcomes at every level.

Technology

NAIS, as an innovative end-to-end solution, features the following technological capabilities:

  1. Profile Summarisation & Classification transforms unstructured application data into structured rubrics across defined categories. This enables domain-specific evaluation of the applicant profile in addition to academic grades.
  2. Multi-Factor Scoring allows customisable weighting of assessment components for the final score. This ensures alignment with the specific selection goals of different programmes.
  3. Adaptive Shortlisting offers dynamic cut-off thresholds that are adjustable to match with varying selection baseline. This allows accommodation of evolving admission standards.
  4. Integrated Decision Support Portal provides a unified platform, along with audit trails, for decision-makers to review shortlisted profiles and record selection outcomes. The automated feedback loop maintains transparency of the decision. 

Overall, NAIS’ technology leverages cutting-edge GenAI, NLP, and RP to bridge advanced AI analysis and operational execution. Furthermore, its modular architecture provides both flexibility and a robust framework for modern admissions management.

Figure 1: Overview of NAIS.

Figure 1: Overview of NAIS.

Applications & Advantages

  1. University Admissions: Efficiently screen applicant profiles (e.g., extracurricular achievements, appraisals, personal statement) and support data-driven decision-making.
  2. Scholarship Selection: Evaluate applicants against specified requirements to identify the most deserving candidates.
  3. Talent Discovery: Assess student potential across a wide range of spectrum (e.g. leadership, sports, research) to enhance institutional excellence.
  4. Operational Efficiency Gains: Automate workflows, reduce manual effort, and enable scalable application processing.
  5. Fairness and Transparency: Deliver holistic evaluations for decision makers via the decision support portal with logging and auditability.

Inventor

Dr TANG Wenyin