Random Cook is a desktop application built in Python that helps users automatically generate meal plans based on their personal database of favorite dishes.
It ask a basic daily question:
👉 „What I eat today ?”
The application eliminates repetitive decision-making by generating structured meal plans for 1 to 7 days without repeating meals.
This project demonstrates database integration, algorithmic logic, and GUI development.
- Randomized meal selection from a MongoDB databasev
- Meal planning from 1 to 7 days
- No repeated meals within a generated plan
- Configurable number of meals per day (3–5)
- Optional inclusion of snacks and desserts
- PDF export of the generated meal plan
- User-defined meal database
- The user stores meals in a MongoDB database.
- The user selects:
- number of days (1–7),
- number of meals per day,
- optional categories (e.g., snacks or desserts).
- The application generates a randomized meal plan.
- Meals are selected without repetition.
- The final plan is exported as a PDF file.
The application separates business logic (meal generation algorithm) from the GUI layer to maintain clarity and maintainability.
- Python
- MongoDB
- pymongo (database communication)
- random module (selection logic)
- tkinter
- customtkinter (modern UI styling)
- PDF generation library
This project explores my algorithmic thinking through the design and implementation of the core meal selection algorithm architecture.
It was developed as part of a college MongoDB course and helped me gain practical experience working with MongoDB, including database design and integration using PyMongo.
Additionally, I learned how to handle and process PDF files in Python.
git clone https://github.com/Bartuniooo/Random-cook.git
cd random-cook
python main.py