If you ever baked a cake or cooked a meal from a recipe in a cooking book or on a website opened in your phone/tablet, you probably recognize the hassle of repeatedly checking the details of a step and having to scroll through a screen with hands dirty from cooking. Throughout the Project MAS course, you will be working on the solution to those sorrows: a cooking assistant that conversationally guides the user through a recipe and responds to his/her questions.
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Recipe Selection | Visual Support | Recipe Instruction | |
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With the new perspective, you might want to consider this flow. Each page has Team Contribution, which explains what I think can be done here by each pair.
Recipe Selection
Visual Support
Recipe Instruction & Clarification
Extraction Of Features
Prepare conversational patterns to extract features values.
Mapping
Image Tagging
Creating Dialog flow
Greeting the User
Add Intents
Add entities
Modeling Patterns
By here you can enlist a few recipes from knowledge-base, and user is offered to choose between them
Extending Conversations
Getting the values of sub-features; like. quantity of ingredients or list of utensils
Feature values to Images
Extending Conversations
Checking Ingredients
Checking Utensils
Switch Recipe - no ideas here yet
Here we have a final recipe selected, and the ingredients and utensils are available.
Slot-filling
Collecting the missing information
Timer and Step
Clarification:-
how to prepare
going back and forth
how much quantity is desired
Week - 4
Testing and Evaluation of the Agent