The project represents a recognized student advocacy group (AISU) with verifiable offline traction in news media regarding exam reforms. However, the submission itself is of extremely low quality, featuring hyperbolic claims ('most people have used my product') and unsubstantiated technical tags like 'machine-learning'. The email format provided (@www.) suggests technical errors. While the organization has social utility, the digital product aspect lacks evidence of innovation or specific user adoption metrics.
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Score Breakdown
Project Details
Algorithm Insights
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