Proof of Usefulness Report

Machine Learning and Data Analytics Lab at NTU EEE

Analysis completed on 2/8/2026

+58
Proof of Usefulness Score
You're In Business

The project 'MLDA@EEE' is a verified and legitimate student-run research lab at Nanyang Technological University (NTU) with clear educational value and verifiable industry partnerships (e.g., NVIDIA, Shopee). However, the submission itself is of extremely poor quality, containing nonsensical claims (e.g., '$17M market cap' for a student club, 'everyone' as audience). While the real-world entity is impactful within its niche, the submission fails to accurately represent it, resulting in a low score consistent with the '<50K users' calibration bracket.

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Score Breakdown

Real World Utility+80
Quality Factor Utility+1
Audience Reach Impact+20
Quality Factor Reach+1
Technical Innovation+50
Quality Factor Innovation+1
Evidence Of Traction+40
Quality Factor Traction+0.5
Market Timing Relevance+90
Quality Factor Timing+1
Functional Completeness+10
Quality Factor Response+1
Subtotal+46
Usefulness Multiplierx1.15
Final Score+53

Project Details

Project URL
Description
MLDA@EEE aims to equip NTU students with knowledge in all aspects of Machine Learning, Data Analytics and AI. Contact us at mlda-eee@ntu.edu.sg for collaboration.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline