🍪 Food Calorie Analyzer

A lightweight Python-based tool that takes in a recipe and calculates the calorie breakdown of each ingredient. Perfect for anyone looking to analyze the nutritional content of home-cooked meals.

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📁 Project Structure

├── App.py                         # Main script for calorie calculation
├── Food.ipynb                     # Jupyter notebook for interactive exploration
├── recipe.csv                    # Input recipe with ingredient names and amounts
├── recipe_calorie_breakdown.csv  # Output file with calories per ingredient
└── .idea/                         # IntelliJ/PyCharm project configuration

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🧠 How It Works

1. Input File (recipe.csv) Contains a list of ingredients and their respective amounts in common kitchen units (e.g., cups, tsp).

2. Calorie Lookup Logic (App.py) Parses the recipe file, estimates calorie values using known approximations (e.g., 64 cal per tbsp of honey), and aggregates totals.

3. Output File (recipe_calorie_breakdown.csv) Includes calories per unit, total calories, and the adjusted calorie count per ingredient.

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🚀 Getting Started

1. Clone the Repository

git clone https://github.com/NathanG1en/Food.git
cd Food

2. Install Dependencies

This project only requires pretty standard Python libraries like pandas. You can install them via:

pip install streamlit
pip install pandas 
pip install python-dotenv

This was one of my first projects, so I didn't use a package manager or make a requirements.txt, but these are only a couple dependencies

3. Run the Script

python App.py

This will read recipe.csv, perform the calculations, and output recipe_calorie_breakdown.csv.

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📊 Example Output

Ingredient	Amount	Calories per Unit	Total Calories
White whole wheat flour	2 cups (~240g)	~110 cal per 30g	816
Honey	1/3 cup (~113g)	~64 cal per tbsp (~15g)	343
Coconut oil	1/4 cup (~55g)	~117 cal per tbsp (~15g)	486
...	...	...	...

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🛠 Developer Notes

• Built using Python 3.x
• Optimized for use with PyCharm (project files under .idea/)
• Notebook (Food.ipynb) included for experimentation or visualization

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📌 TODOs / Future Improvements

• Automate unit conversion (e.g., cups to grams)
• Integrate with the USDA FoodData Central API
• Add macro breakdown (fat, protein, carbs)
• Build a better UI (not w/ streamlit)

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🧑‍🍳 Inspiration

Designed for the food product development club at UF. Can be used by any one who is interested in figuring out the nutritional content of their recipes!

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📄 License

MIT License. See LICENSE for details.

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