Proof of Usefulness Report

Science Adventure

Analysis completed on 1/25/2026

+10
Proof of Usefulness Score
You're In Business

The project appears to be an early-stage academic or research initiative affiliated with UCM in Lugano, utilizing high-level AI/ML buzzwords without concrete descriptions of the 'WhisperHeart' product. The submission suffers critically from unverifiable and hyperbolical claims (e.g., 'most people have used my product'), leading to a low trust score. No verifiable digital footprint, revenue, or active user base could be confirmed.

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Score Breakdown

Real World Utility+3.75
Audience Reach Impact+1.00
Technical Innovation+2.25
Evidence Of Traction+0.00
Market Timing Relevance+2.00
Functional Completeness+0.25
Subtotal+9.25
Usefulness Multiplierx1.08
Final Score+10

Project Details

Project URL
scienceadventure.ch
Description
SciAdv develops integrated software and hardware systems based on the study of artificial intelligence (AI) with machine learning(ML) and deep learning(DL) technologies and with semantic language analysis (or NLP). The systems can be applied to different sectors: aerospace, automotive, health & care, finance and real estate, social behavior and social science, IoT. The systems can also be used on board drones or satellites and in software programs such as semantic search engines, automatic indexers, speech language recognizers. In particular, the systems developed by SciAdv can be used stand alone or included in larger projects as a single component of the system. Science Adventure is affiliated to UCM Higher Education Institution Foundation as applied research partner. SciAdv has its main office and laboratory into the university building in Lugano Campus.

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