TharsanRecipe is an AI-driven recipe generator that simplifies meal planning. Users can select dietary preferences like vegetarian, vegan, or keto and input available ingredients. The app uses AI to provide personalized recipes with serving sizes, prep times, and directions, helping minimize food waste while ensuring quick, delicious meals.

The Zero Waste Kitchen Recipe Project provides users with creative and sustainable recipes that help minimize food waste.

A full-stack website designed to minimize household food waste, integrating Prisma with PostgreSQL for database management and robust authentication for secure user access.

This project leverages Machine Learning and Data Analytics to predict and minimize food wastage in various sectors such as restaurants, hostels, and catering services. By performing Exploratory Data Analysis (EDA) and feature engineering, the model identifies key factors contributing to food waste and provides actionable insights for optimization.

FoodZilla is the most advanced food waste technology on the market which is enabled with ML to maximize operational efficiency and data accuracy, reducing food waste. Using computer vision and object recognition techniques, we keep track of how much food is unused at the end of inventory periods. Our solution reduces food waste two-fold, by using Machine Learning techniques to intelligently predict future orders, and in the case of wastage, provide a much-needed platform for restaurant owners to distribute their food.

Building a responsive app to minimize food waste. Leveraging React, Supabase, and Netlify for a scalable solution. Features include user authentication, real-time data, and serverless functions.

A comprehensive data-driven food wastage management system that connects food providers with receivers to minimize food waste, maximize food recovery, and create positive social and environmental impact through intelligent matching and analytics.

IngredientMix is a Swift-based mobile app that helps users discover and create recipes based on available ingredients. With features like meal planning, shopping lists, and user-friendly search, it makes cooking enjoyable and efficient while minimizing food waste.

IoT devices with moisture, humidity, temperature, and pH sensors can help farmers improve crop yields while minimizing resource waste. They can be used to monitor and enhance soil health, create crop forecasts and fertilizer recommendations, and create a more sustainable, efficient, and resilient food system.

Food app for minimizing food waste

ShareMeal Food Donation System is a web application that connects donors, NGOs, and delivery personnel to streamline food donations. It facilitates donor registrations, food submissions, NGO requests, delivery tracking, and real-time reporting to ensure efficient food distribution and minimize waste.

WasteWise: Maximizing Resources, Minimizing Waste —Strategic Approaches to Mitigating U.S. Food Waste

Pocket Grocer is a web application that empowers individuals, as well as those living in communal living spaces, to keep track of grocery items and respective expiration dates in order to minimize their food waste.

FeedForward is a platform for managing leftover food efficiently to minimize waste and maximize use

An application designed to assist small restaurants in managing their ingredients efficiently to minimize food waste.

Demeter is a smart food waste reduction platform designed to help individuals and businesses minimize food waste and promote sustainability. Named after the goddess of the harvest in Greek mythology,

An AI-powered food waste reduction system that predicts mess attendance and optimizes cooking quantities to minimize waste, save costs, and reduce environmental impact.

To develop a system that helps the users to have a well-organized food monitoring system, minimize food waste, and promptly notify users of approaching expiration dates to improve food safety.

About A full-stack, smart platform designed to minimize food waste by optimizing the redistribution of surplus produce from farmers to non-profit organizations (NGOs) and food banks.

A platform that connects donors, NGOs, volunteers, and farmers to minimize food waste. It redistributes surplus edible food and converts inedible food into slurry for farmers. Features include real-time donation management and food distribution tracking.

"Food Bridge" is an innovative waste management platform designed to minimize food wastage by redistributing excess edible food through door delivery to those in need. The platform also promotes sustainability by directing inedible food waste to biogas industries for eco-friendly energy generation, ensuring efficient utilization of resources.

This is a proof-of-concept recipe book application with the goal to minimize food waste in meal planning/prepping and grocery shopping.

FoodWise: a mobile app that minimizes food waste generated at a household level by automating the grocery list-making process and tracking user inventory.

💡 Project Title: Smart Food Waste Management System The Smart Food Waste Management System is a web-based application designed to minimize food wastage by efficiently managing the collection and distribution of surplus food. Developed using PHP, HTML, CSS, and JavaScript, the system acts as a digital bridge between donors such as households.

MERN Stack application designed to foster community collaboration and reduce food waste. Tasty Trails provides a platform for users to share information about surplus food, creating a better environment where everyone can contribute to minimizing food wastage.

This project tackles the challenge head-on by proposing a comprehensive solution that optimizes the collection and redistribution of surplus food from various sources to those in need. Leveraging technology, and community engagement, our initiative seeks to minimize food waste, ensure food safety, and promote environmental responsibility.

This is a full-featured web application designed to help you efficiently manage your kitchen inventory, track food expiration dates, and minimize food waste. The app is built with Flask for the backend and a dynamic frontend using HTML, CSS, and JavaScript.

Developed comprehensive predictive analytics solution using LSTM, Prophet, ARIMA & ETS models to forecast restaurant demand patterns. Achieved high accuracy in quantity prediction, enabling data-driven inventory decisions that minimize food waste, preventing stockouts & maximize profitability.

An app that allows users to log in ingredients in their kitchen and then suggests recipes based on those ingredients. The goal of this app is to minimize the food waste that occurs on the consumer level.

This project models a food donation system that adapts to weekend surges in donation volume. Using Mesa for agent-based simulation and DEAP for genetic algorithm optimization, it efficiently schedules deliveries to minimize waste and balance transporter loads.