Food/Diet Recommendation system using machine learning

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository

implement Genetic Algorithm to recommend a food order according to cuisine preference and budget of the group

Food management home assistant app for Google Assistant or Cloud Speech-to-Text service

Food Ordering Recommendation Engine

This is a normal food detection app which gives you the idea about meeting your calorie goals against the meal you are having

A semantic-based dish search engine.

MealMatch is an intelligent web application that suggests recipes based on the ingredients you already have at home. It leverages a multi-agent architecture using MESA and integrates with the Spoonacular API to retrieve real-world recipes.

A python API for Food Recomendation System

A simple web app that suggests different food recipes based on the items that are available with you.

Fuzzy system recommending light, moderate, or heavy food based on health and taste

SavorySage: AI-Driven Savory Restaurant Recommendations

MunchMate is a conversational AI-powered culinary assistant that combines OpenAI's LLM with a recipe database to provide intelligent food recommendations, contextual cooking ideas, and an interactive web interface.

Generates a weekly menu from a text file (e.g. menu_items.txt) and then emails it to an email list. Attach to Task Scheduler on a timer and send out to family, friends, and loved ones.

A weekly restaurant recommendation message service

Basic API built using Flask to store places of interest on MongoDB. Users can interact with this API using the Telegram API