AI Cooking Assistant Use Cases for Startups and Smart Kitchen Products

Technology has transformed every industry, and cooking is no exception. We moved from open flames to gas stoves, then to microwaves, and now it's time to use AI in the kitchen.

 

So, are you thinking about creating an AI cooking assistant? Then, you probably have a lot of questions, such as:

 

• How can AI improve the cooking experience? 
• What is the usage of AI in the food industry and how can I use this technology? 
• What are the applications of AI cooking assistants?

 

That’s exactly what we’re here for.

 

The Onix team has experience in AI-powered kitchen assistant development, and we're going to share our insights!

 

Here’s what we’ll cover in this blog post:

 

• Why are food companies increasingly starting to implement AI? We'll look at the AI kitchen market.
• What are the use cases of AI in cooking? We'll show you various ways you can choose to integrate AI into the cooking process.
• How can Onix help with building an AI-powered cooking app? We'll demonstrate a real example of how Onix built an AI-driven cooking assistant and outline our machine learning development services.

AI-Based Apps in the Kitchen are Gaining Momentum. What are the Driving Factors?

The global AI in the food and beverage market is expected to grow at an impressive rate and reach $187.34 Billion by 2032.

There is no doubt that this market is growing fast. This is due to a number of reasons:

 

• demand for smart home tech
• hassle-free cooking
• personalized cooking experience
• streamlined kitchen operations
• easy adaptation to users' dietary preferences and habits
• demand for convenience and efficiency in cooking practices.

 

With AI meal planning, grocery shopping and meal preparation become easier and more seamless than ever before.

 

For example, a survey of more than 2,200 American adults conducted by Morning Consult shows that:

Today, people's approaches to cooking are changing. Don't miss the chance to launch an AI solution that meets modern culinary needs!

With What Solution Can You Enter the Market? Explore These AI AI Food Processing Use Cases

So, how is AI used in cooking? In this part, we provide real-world examples and show you some of the top use cases.

 

Personalized meal planning

By building such an app, you will allow users to create personalized meal plans based on their food preferences, dietary restrictions, budget, and health goals.

 

The app uses artificial intelligence technology to create personalized meal plans based on the user's diet, lifestyle, and nutritional goals.

 

For example, the Onix team developed an AI-powered meal generator that creates personalized meals, provides real-time nutritional insights, and allows users to discover new culinary possibilities.

AI Chef app built by Onix

 

Typically, personalized meal planning apps include the following functionality:

 

 

Learn more: How to Build Teams for AI Projects

 

Nutrition tracking

The concept of a nutrition tracker is pretty simple:

 

• monitoring food intake,
• tracking essential nutrients, 
• optimizing meals for better well-being. 

 

AI-based nutrition tracker app allows users to analyze their eating habits, diets, and fitness goals.

 

For example, the MealMate app uses the validated USDA food database to give users an overview of all the macro and micronutrients they consume.

Here is a functionality that the nutrition tracking app should include:

 

 

Grocery list generation for meal plans

The next example of popular applications of AI in food processing is AI-powered grocery list generation apps. They help people create grocery lists automatically from their meal plans or diets. Such apps save time, reduce food waste, simplify grocery list shopping, and ensure users have all the ingredients they need.

 

For example, the Samsung Food app includes a grocery list generator feature that allows users to create a grocery list from a recipe, use voice assistants, and quickly turn a shopping list into an online order.

 

Source: Samsung Food

 

If you plan to build such type of an AI-powered grocery app, make sure to include the following features:

 

Smart AI cooking assistant

An AI-based kitchen assistant is a digital companion for beginners and experienced chefs that provides them with the following:

 

• step-by-step instructions,
• personalized suggestions based on their ingredients,
• and real-time monitoring.

 

A great example of such a solution is the CHEF iQ App. Paired with the CHEF iQ smart cooker,  the app guides users through every step of the cooking process, offering step-by-step recipes, detailed video instructions, and voice control of cooking.

 

 

If you want to build an AI cooking assistant, you need to implement these features:

 

 

AI-driven culinary creativity

This AI-powered cooking companion helps users experiment, try new flavors, and easily create unique dishes.

 

AI analyzes vast databases of component combinations and cooking methods, providing users with unexpected food pairings and unusual cooking techniques.

 

For example, IBM's Chef Watson is an AI-powered solution combining ingredients for dishes that people would never have considered. Chef Watson analyzes data and overlays scientific information, making work in the kitchen with chefs more efficient.

 

If you want to develop your AI recipe generator, consider the functionality it requires:

 

 

Onix's Expertise in Building an AI-Powered Cooking App

The Onix team has experience creating an AI recipe generator that allows users to input a dish idea or existing products and return a fully functional recipe with detailed nutritional composition insights.

 

AI-powered recipe generator built by Onix

To build an AI-powered recipe generator, our team needed to:

 

• Develop a user-friendly website that supports real-time recipe generation.
• Implement GPT API technology to provide AI-powered dish recommendations tailored to user preferences.
• Create a dashboard where users can store and manage their culinary creations.
• Design an intuitive and visually appealing interface.

 

The key features we implemented:

 

• Ingredient selection
  We built an expansive ingredient database so users can browse, search, and categorize ingredients based on their taste and dietary needs.

  

Real-time recipe generator built by Onix

 

• AI dish constructor
  It creates custom dishes after users specify ingredients, quantities, and serving sizes. 

 

• Nutritional analysis
  This feature provides users with detailed insights into the nutritional composition of their dishes.

  

Nutritional analysis feature built by Onix

 

• Dish classification
  The AI algorithm automatically categorizes dishes into soups, salads, main courses, and more, ensuring users can easily locate and organize their recipes.

 

• User dashboard
  It is a personal culinary hub where users can effortlessly manage, store, and view their recipes.

 

Want to learn more?
Check out our detailed case study for a deeper look into this project and to explore additional development insights.

 

What’s Next?

As this article shows, artificial intelligence opens up endless possibilities for creating fun and exciting cooking experiences.

 

The potential to create innovative, impactful solutions is nearly limitless:

 

• Voice-activated cooking assistants
• Food waste reduction systems
• Smart recipe integration with appliances
• AI-based cooking assistants for guided cooking
• Ingredient freshness detection in smart fridges
• Custom cooking modes for dietary needs
• Seamless online grocery shopping integration

 

And the list goes on and on!

 

AI-powered cooking solutions are only gaining momentum, and the market is open to new ideas that can meet growing consumer demands.

 

The Onix team will gladly support you through the development process using our extensive experience and proven methods.

 

Whether you:

 

• want to build an AI-powered cooking app,
• need consultation,
• or have any questions

 

We’re here to help!

 

FAQs

 

How can businesses benefit from investing in AI-driven cooking apps?

Businesses can leverage AI to enhance customer engagement, streamline operations, increase efficiency, and offer personalized food experiences that set them apart.

 

How do AI-powered apps help restaurants and cafés?

AI can optimize restaurant operations by managing inventory, reducing food waste, personalizing menus based on customer preferences, and ensuring recipe standardization for consistency across multiple locations.

 

Can an AI-based cooking app be integrated with fitness trackers?

Yes! AI-powered nutrition tracking apps can sync with fitness wearables like Apple Watch, Fitbit, and Garmin to provide holistic health insights.

 

What technologies are used to build AI-powered cooking apps?

AI cooking apps typically use machine learning, natural language processing (NLP), computer vision, and IoT (Internet of Things) integration to deliver smart cooking experiences.

 

How secure is an AI-powered cooking app?

Security depends on encryption, data privacy measures, and regulatory compliance. Onix ensures that all AI-powered solutions follow best practices for data security and user privacy.

 

How can Onix help develop an AI-powered cooking solution?

Onix specializes in developing AI-driven apps and innovative kitchen solutions tailored to your business needs. We ensure seamless integration, user-friendly design, and advanced AI capabilities from concept to deployment.