Food Nutrition Database Developed a comprehensive

Food Nutrition Database

Developed a comprehensive Food Nutrition Database containing detailed nutritional information for a wide variety of foods, including fruits, vegetables, grains, dairy, beverages, snacks, fast food, and international cuisines. Built Python-based automation scripts to collect, clean, validate, and organize nutrition data into structured Excel datasets using Pandas. The database includes essential nutritional values such as calories, protein, carbohydrates, fats, fiber, vitamins, and minerals, making it suitable for fitness, diet planning, health tracking, and AI-powered nutrition applications.