Task 16/7 of 3 in Project 1: The Quest for the Golden Donut

Sub-task 2 of 2

Estimated Time: 2 hours 30 minutes

Progress: 50%

Assigned to: Bob, John, and Jane

Last Updated: Yesterday

Objective: Develop a new algorithm to predict the optimal donut topping combinations.

Requirements:

• Must be able to process at least 10,000 donut topping combinations
• Must be able to provide recommendations within 1 second of input

Resources:

• Donut Topping Database (DTDB)
• Python script

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Task Description:

The goal of this task is to develop a new algorithm that can predict the optimal donut topping combinations for any given donut.

As you may know, the current system is terrible and has been known to cause existential crises in some of our team members. We need someone to come in and save the world (or at least the office break room).

We're thinking of using a combination of machine learning and natural language processing to create a system that can suggest the perfect donut to any user.

Here's a rough outline of what we're thinking:

1. Collect data on user preferences and donut topping interactions
2. Train a machine learning model on the data
3. Implement a natural language processing system to understand user requests
4. Combine the two for optimal donut suggestions

Questions:

1. What's the best programming language to use for this project?
2. Should we use a cloud-based solution or something on-premises?

Let us know your thoughts!

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