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food-analysis

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This project aims to explore and analyze the nutritional composition of food items using a dataset of 7058 food products. By performing Exploratory Data Analysis (EDA), we uncover patterns, trends, and insights related to calories, protein, fats, vitamins, and minerals present in various foods.

  • Updated Dec 22, 2024
  • Jupyter Notebook

This repository contains the code and data for a multi-task deep learning project that aims to recognize food ingredients from images and estimate their calorie content. The project utilizes a combination of image recognition techniques and natural language processing to analyze food images and extract relevant information.

  • Updated Feb 3, 2025
  • Jupyter Notebook

As a Data Analyst at Taste of the World Cafe 🍽️, I analyzed customer data to assess new menu items. The menu has 32 items 🍲, with the most expensive being Shrimp Scampi at $20 💸 & the least expensive Edamame at $5 🥢. Popular items included the Hamburger (622 orders) 🍔 & Cheeseburger (583 orders) 🍔. High-spend orders favored Italian cuisine 🍝

  • Updated May 25, 2024

In our Zomato dataset journey 🍽️, we've refined data to its peak. Using Excel 📈 and Python 🐍, we meticulously cleaned restaurant names with regular expressions 🔍, ensuring authenticity. Our 'zomatocleaned.csv' now captures the true dining essence 🍴, showcasing our commitment to culinary precision 👨‍🍳.

  • Updated May 28, 2024
  • Jupyter Notebook

A Python-based Diet Coach app that calculates total nutritional values—calories, fats, proteins, carbohydrates, and sugars—based on user-selected foods and quantities. Built using a JSON nutrition dataset for real-time feedback on dietary choices. Ideal for health-conscious users and developers interested in nutrition-focused applications.

  • Updated Jun 16, 2025
  • Python

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