Nutritional Food Dataset

Key Features

1. Macronutrients: Offers detailed information on calories, fats, proteins, and carbohydrates for each food item.
2. Micronutrients: Includes data on essential vitamins and minerals, such as Vitamin A, C, D, calcium, iron, and potassium.
3. Dietary Fiber & Antioxidants: Shows fiber content and lists antioxidant-rich foods, crucial for digestive and overall health.
4. Food Categories: Data spans across fruits, vegetables, grains, meats, dairy, and beverages.
5. Health Benefits: Highlights specific foods for boosting immunity, energy levels, and general well-being.

Applications

• Personal Diet Planning: Helps individuals customize their meal plans based on nutritional needs.
• Research & Analysis: Suitable for studying nutritional trends and conducting health-related research.
• Healthcare: Useful for medical professionals advising patients on dietary adjustments.

Extended Dataset Features

• Glycemic Index: Data on how foods impact blood sugar levels.
• Allergy Information: Marks common allergens like gluten, dairy, and nuts.
• Sustainability Scores: Eco-friendly ratings for various foods, including carbon footprint data.

This dataset is sourced from Kaggle.