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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

Welcome to the BiteBuddy App! BiteBuddy is a Flutter-based AI-powered calorie tracker that uses Google Gemini AI to analyze food images and provide detailed nutritional information, including calorie count, protein, carbs, and fat content. Designed with a user-friendly interface and seamless AI integration.

  • Updated Sep 30, 2025
  • Dart

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

🍽️ AI-powered nutrition analysis assistant that uses computer vision to analyze food photos and provide detailed nutritional information, calorie estimates, and professional dietary advice from a clinical nutritionist perspective. 🍽️ 基於 AI 視覺技術的營養分析助手,能夠分析食物照片並提供詳細的營養資訊、熱量估算和臨床營養師專業建議

  • Updated Aug 24, 2025
  • JavaScript

BiteBuddy is an AI-powered calorie tracker and food analysis application designed for health-conscious users. This landing page provides users with information about the app, download links, documentation, and showcases the app’s powerful features such as AI meal recognition, calorie tracking, and progress monitoring.

  • Updated Sep 30, 2025
  • TypeScript

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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