Briefing

Situation

Did you know that Istanbul alone devours a staggering 2,000 tons of baklava during the festive season? That’s a lot of sweet treats!

However, with great treats come great responsibilities!

  • Two years ago, the country produced way too much baklava for the demand

    • This nearly bankrupted Türkiye, and greatly affected driving conditions as pallets of baklava had to be stored in the streets.

  • Last year, in an attempt to avoid a repeat, the government massively underestimated the demand, as people rushed to stock up for 10 years. This led to massive disappointments throughout the country.

  • This year, to ensure that every baklava lover gets their sweet fix, and to meet this incredible demand, a predictive AI model was built to predict the demand as accurately as possible! The country’s future hangs in the balance!

Mission

Difficulty Level: Warming Up

But Türkiye believes it can do better and has hired you to help!

Let’s work together to ensure a successful festive season for everyone!

We invite you to join our effort to optimize this model further. Your task is to:

  • Experiment with Hyperparameters: Tweak parameters like epochs, batch_size, learning_rate, and hidden_layer_units to find the optimal configuration.

  • Store Your Experiments: Record the hyperparameters you used, the resulting model artifacts (the trained model), and evaluation metrics in Model Registry.

  • Deploy the Best Model: Once you’ve identified the most performant model, deploy it to your environment from the Model Registry.

  • Optional: Test Your Model: Use the provided notebook to make predictions and evaluate the deployed model’s performance.

By making your experiments and storing your findings in Model Registry, you’ll be part of a collaborative effort to make the most of this sweet AI challenge.