🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
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Updated
May 1, 2024 - Python
🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕
Used Data Science techniques to find healthy dishes from TasteAtlas
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.
NutriGenie is a Streamlit web application that serves as your personal nutrition assistant. It allows you to analyze food items from images and calculate their total calories.
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.
Um assistente virtual nutricional inteligente que oferece orientações personalizadas sobre alimentação e nutrição através do Telegram. Ele pode responder perguntas, analisar fotos de refeições, fornecer recomendações e manter o histórico de conversas para uma experiência mais personalizada.
AI-powered food calorie and nutrition analyzer using Gemini & Streamlit
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 🍝
An interactive React application enabling users to upload food images for detailed nutritional analysis.
Nutrition Analyzer and Meal Recommender using AI
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 👨🍳.
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.
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