The project represents a legitimate academic program (Bachelor in AI) from prestigious institutions (CentraleSupélec & ESSEC), which ensures high real-world utility and educational value. However, the submission itself is of extremely low quality, containing verifiable falsehoods in traction claims ('most people have used my product') and nonsensical revenue metrics ('300000000 marketcap'). The lack of technical implementation details and the disconnect between the claimed reach ('everyone') and the actual niche academic audience severely penalize the score. This appears to be a low-effort submission relying solely on institutional brand recognition without providing the necessary evidence for a technology project evaluation.
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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