Round 1 Winners!
Proof of Usefulness Report

Vital Sign AI

Analysis completed on 3/22/2026

+5.24
Proof of Usefulness Score
You're In Business

The submission contains major discrepancies and unsupported claims, including a contradictory team size (70 vs 6) and highly suspect traction statements ('most people have used my product'). While the initial 2020 concept for COVID-19 remote detection possessed utility, the lack of verifiable evidence and dubious metrics (e.g., 'all time marketcap: 500000') result in a minimal score.

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Score Breakdown

Real World Utility+2.50
Audience Reach Impact+0.50
Technical Innovation+1.13
Evidence Of Traction+0.00
Market Timing Relevance+0.50
Functional Completeness+0.13
Subtotal+4.76
Usefulness Multiplierx1.1
Final Score+5

Project Details

Description
We are a team of over 70 volunteering healthcare practitioners, engineers, data scientists researchers, developers, creatives, founders and designers to help with the current COVID-19 situation. And to use the research and development for possible similar future problems. For instance by documenting R&D and developing technologies possibilities, such as vital sign detection for remote detection of symptoms of diseases without requiring hospital visits. Please sign up via the website attached to this, and share any resources and opportunities with our team. Problem: The detection of COVID-19 symptoms requires doctor and hospital visits, or a visit to test sites outside from home. This results in possible transmission or infection of COVID-19, and an increase of doctor visits straining the medical resources available. Solution: Prognosis, diagnosis and screening for the patients infected with COVID-19 is suggested to be based on breathing characteristics (Wang et al. 2020. https://arxiv.org/abs/2002.05534). The detection of breathing patterns can be achieved via facial cameras and machine learning (Chen et al. 2019 https://arxiv.org/pdf/1909.03503.pdf). The proposed project is an app that can be installed and used on any smartphone and laptop to detect early symptoms of COVID-19 remotely without leaving the home. It uses the detection of breathing characteristics via technological devices accessible to everybody at home with cameras of smartphones/laptop and machine learning, and combines it with the detection of symptoms of breathing characteristics. The app could also include mindfulness and meditation exercises to help people reduce stress and anxiety. And resources to reach for the nearest hospital, doctor and pharmacy. As well as resources for communal support and connection to nearest online groups, help for grocery delivery etc.

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