A full stack JavaScript app for finding restaurants in any city of the world.
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Updated
Dec 25, 2016 - JavaScript
A full stack JavaScript app for finding restaurants in any city of the world.
FitFoodFeed is a blog and e-commerce website (project) focused on promoting healthy food choices. Built with Django.
Web application for writing food reviews
MunchBook is a full-stack food review and analytics app built with Next.js and MongoDB. It allows users to log restaurant visits, rate individual dishes, and get personalized dining suggestions through advanced analytics and visualizations.
Food Review website created for Final Project of making Progressive Web App (PWA) using Nuxt.js
A website that can show you what you wanna eat today, and more information about F&B businesses in your area
A review site for tacos and some other food...
Discover with DK Blog
Semantic data analysis on amazon fine food review dataset to determine whether a review is positive or negative using various machine learning techniques.
Sentiment analysis of restaurant reviews using logistic regression. Predicts positive or negative sentiment and tracks review statistics with a user-friendly interface.
React frontend for a MERN food community app | Explore, review & favorite foods
Tabemashou, a food review app made in Flutter
A food review website for food lovers and bloggers
A sentiment analysis app using Flask.
To analyze the sentiment of Amazon food reviews using various techniques and compare the performance of different models.
An ML model made using Sci-kit learn to predict whether a review is positive or negative. Dataset from Kaggle: Amazon Food review
CampusEats revolutionizes how students dine near USYD. With seamless integration of Google API, we provide tailored food recommendations at your fingertips. Say goodbye to indecision and hello to culinary bliss with CampusEats!
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