🍔🍟🍗 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.

An interactive React application enabling users to upload food images for detailed nutritional analysis.

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 🍝

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 👨‍🍳.