Welcome to the repository for Food Recommendation —where innovation meets code! This project was born out of a passion for developing an app for those who don't know what to do for dinner. With a focus on streamlit, we aim to recommend food based on calorie and time.
Streamlit: Here
Clone the repository: git clone [repo-url]
Install dependencies: npm install or pip install -r requirements.txt
Run the project: npm start or python app.py
Dataset includes 16 columns and 375703 features.
| Column | Dtype | Description | |
|---|---|---|---|
| 0 | RecipeId | int64 | Recipe Id (unique) |
| 1 | Name | object | Recipe's name |
| 2 | CookTime | int64 | Cooking Time (minutes) |
| 3 | PrepTime | int64 | Preparation Time (minutes) |
| 4 | TotalTime | int64 | Total Time (minutes) |
| 5 | RecipeIngredientParts | object | Ingredients |
| 6 | Calories | float64 | Calories |
| 7 | FatContent | float64 | Fat |
| 8 | SaturatedFatContent | float64 | Saturated Fat |
| 9 | CholesterolContent | float64 | Cholesterol |
| 10 | SodiumContent | float64 | Sodium |
| 11 | CarbohydrateContent | float64 | Carbohydrate |
| 12 | FiberContent | float64 | Fiber |
| 13 | SugarContent | float64 | Sugar |
| 14 | ProteinContent | float64 | Protein |
| 15 | RecipeInstructions | object | Recipe |
Found a bug or have a suggestion? Open an issue!
Connect with us on mail for the latest updates.
A big thank you to all contributors who have helped shape this project!
- Ahsen Sağlam
- Gülnihal İştotan
- Habibe Korkmaz
Let's collaborate and build something amazing together. Happy coding! 🚀