Evaluation of Project

Technical Functionality: 4 (Excellent)
The project has demonstrated a significant step towards the technical goals by proposing a measurement framework and providing data about expected resource consumption. However, it has not implemented a fully detailed and interactive dashboard or prompting strategies. Instead, it tentatively suggests approaches that could be further developed with some coding effort. A higher score would require more ambition in demonstrating concrete, coded functionality.

User Experience: 3 (Good)
The project creators have incorporated design concepts into a visually appealing presentation. However, further development of a user-friendly interface and interactive dashboard implementation are needed. The user flow is not yet clear, because the current mockups are static and do not show full functionality.

Skillful Use of AI: 3 (Good)
The team shows a intent to apply AI through dashboards for measuring and prompting, but only at the idea level. Actual AI use or demonstrations (which can range from machine learning models to natural language processing strategies for prompting) have not been implemented in detail. For a higher rating, they should provide working code, examples, or at least detailed algorithms.

Uniqueness / Creativity / Fun Factor: 2 (Fair)
While the goal of making AI more sustainable is creative and timely, the project’s approach does not entirely break new ground. Some parts may be similar to existing works focused on sustainable computing or AI ethics. The potential for a viral "wow" factor or novel approaches could be improved with more ambitious designs in measurements or impact reduction strategies.

Potential / Market Impact: 4 (Excellent)
The project addresses a critical and increasingly important subject: sustainable AI, which has both high market opportunity and could offer Switzerland a leading edge in responsible technology practices. However, realizing this potential depends on effective implementation of the proposed strategies, which, given the lack of concrete prototypes or fully developed dashboards, remains conceptual.

Key Feedback for Improvement:

• More detailed and interactive documentation, especially showing real codebase snippets or demo links.
• A dynamic, interactive dashboard prototype or mockup that simulates measuring and responding to model usage.
• Examples or demos of AI prompting strategies to show how they could reduce environmental impact.
• A clearer, step-by-step user flow to demonstrate practical usage.

The project is off to a strong start conceptually but requires more concrete, functional demonstrations and applications to reach the "excellent" level in all categories.

Note: This is a simulated evaluation and not based on an actual project. The scores and feedback are examples of how a judge might evaluate based on the given criteria.

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