Round 1 Winners!
Proof of Usefulness Report

Smart Vision AI

Analysis completed on 3/21/2026

+43.27
Proof of Usefulness Score
You're In Business

Smart Vision AI proposes a highly practical application of computer vision for roadside hazard detection. However, the submission is hindered by vastly exaggerated reach ('everyone') and traction ('most people have used my product') claims, paired with unclear revenue metrics. Despite a solid conceptual foundation, the lack of verifiable evidence and poor response quality place this project strictly in the minimal traction tier.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+1.00
Technical Innovation+9.00
Evidence Of Traction+1.88
Market Timing Relevance+6.50
Functional Completeness+0.50
Subtotal+37.63
Usefulness Multiplierx1.15
Final Score+43

Project Details

Project URL
smartvision.ai
Description
Born out of the Ministry of Data Hackathon, Smart Vision AI is a computer vision startup, looking to help businesses capture and analyse road video data to provide intelligent, actionable insights. The system utilises depth sensing and location-aware hardware, combined with computer vision and machine-learning algorithms to automatically detect roadside hazards from real-time or recorded video feeds.

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