AI planner for a weekly meal plan and shopping list in Google Sheets
Introduction

Nowadays, as more and more people try to optimize their time and eating habits, artificial intelligence is emerging as an effective tool for meal planning. This article will show you step by step how to create an AI planner for a weekly meal plan and shopping list using Google Sheets. Thanks to this project, you can make everyday food decisions easier while also saving time when shopping.
Project goal

The goal of this project is to create a simple and effective system that helps you plan a weekly meal schedule and generate a shopping list based on selected recipes. This system will use Google Sheets and basic artificial intelligence functions to recommend meals based on your preferences and available ingredients.
Prerequisites

- A Google account to access Google Sheets.
- Basic knowledge of working with Google Sheets.
- An internet connection to use online services.
- A list of preferred recipes and their ingredients.
Implementation steps

Step 1: Create the basic Google Sheet
Action: Open Google Sheets and create a new document. Name it "Weekly Meal Plan".
Output: A new Google Sheet named "Weekly Meal Plan".
Success metric: The document is created and available for editing.
Step 2: Define the meal plan structure
Action: Create a table with columns for days of the week, meals (breakfast, lunch, dinner), and notes.
Output: A table with a defined structure for meal planning.
Success metric: The table contains all necessary columns and is clear.
Step 3: Collect recipes and their ingredients
Action: Create another sheet in Google Sheets called "Recipes" and enter at least 10 different recipes including their ingredients.
Output: A sheet with recipes and their ingredients.
Success metric: The sheet contains at least 10 recipes with complete ingredients.
Step 4: Create an AI model for meal recommendations
Action: Use Google Colab and the TensorFlow library to create a simple model that recommends meals based on user preferences. Save the model to Google Drive.
Output: An AI model saved in Google Drive.
Success metric: The model is successfully trained and saved without errors.
Step 5: Integrate the AI model with Google Sheets
Action: Using Google Apps Script, create a script that loads data from the model and recommends meals based on entered preferences.
Output: A script capable of generating meal recommendations based on the AI model.
Success metric: The script works without errors and generates recommendations.
Step 6: Generate the shopping list
Action: Create another sheet in Google Sheets called "Shopping List" and use a script to generate a list of required ingredients based on the selected meals.
Output: A sheet with a shopping list containing the required ingredients.
Success metric: The shopping list contains all required ingredients for the planned meals.
Testing
After completing all the steps, it is important to test the system thoroughly. Try planning a weekly meal schedule and check whether the generated shopping list matches the ingredients listed in the recipe. Test different meal combinations and verify that the AI model correctly recommends meals based on your preferences.
Deployment
Once the system has been tested and works as expected, you can deploy it for regular use. Share the Google Sheet with family or friends so they can also use the meal planner and shopping list. Make sure you have the correct permissions set for editing and viewing.
Limitations
It is important to realize that this system has its limitations. The AI model may be limited in its recommendations based on the available data and may struggle with unusual preferences or allergies. It is also important to regularly update the recipe and ingredient database so that the system remains current and relevant.
FAQ
- How can I add new recipes? Simply add new rows to the "Recipes" sheet and fill in the required information.
- What if I am allergic to some ingredients? You can adjust the recommendations in the AI model so that it takes your allergies into account.
- Is it possible to share this planner with others? Yes, you can share the Google Sheet with other users.
Conclusion
Creating an AI planner for a weekly meal plan and shopping list in Google Sheets is a great project that can make your life easier and improve your eating habits. This guide has provided you with the step-by-step information needed to implement this project. Don’t forget to regularly update your recipes and adapt the system to your needs to achieve the best possible results.
Recommended AI stack for implementation
Select tools according to your budget and level of automation. Below is a direct overview of services for implementing the project.
| Tool | Offer |
|---|---|
| NordVPN | Open offer |
| Semrush | Open offer |
| Make | Open offer |
| Hostinger | Open offer |
| Fiverr | Open offer |
| Adobe | Open offer |
| Canva | Open offer |
| Jasper | Open offer |
Links in the article
Sources of illustrative images
The custom illustrative image was created using the OpenAI Images API.
| Service | Service description | Offer |
|---|---|---|
| NordVPN | VPN service for privacy protection and secure connections. | Open offer |
| Semrush | SEO and marketing platform for analysis and traffic growth. | Open offer |
| Make | Advanced visual automation for workflows and integrations. | Open offer |
| Hostinger | Web hosting and domains for fast website launch. | Open offer |
| Fiverr | Marketplace for freelancers and external specialists. | Open offer |
| Adobe | Creative tools for graphics, video, and digital content. | Open offer |
| Canva | Online design tool for graphics, presentations, and social media. | Open offer |
| Jasper | AI tool for marketing copy and content campaigns. | Open offer |
Note: We use affiliate links for listed services. If you purchase through them, we may earn a commission at no extra cost to you.




