Eco-Dine: Real-Time Food Waste Tracking & Nutrition Guide

A smart system to track and display food waste data in real-time, raising awareness and promoting responsibility. Includes a menu with nutritional info to encourage informed and sustainable choices.

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Inspiration

The inspiration for this project came from witnessing significant food waste in university dining halls and realizing its potential impact on addressing hunger. By combining technology with sustainability, we aim to create a system that not only tracks and displays food waste but also educates students about their role in reducing it. The idea is to instill a sense of responsibility by showing how much food is wasted and how many people it could have helped, ultimately fostering a culture of mindful consumption.

What it does

The project tracks and visualizes food waste in real-time using bar and pie charts, displaying hourly, daily, and weekly data on monitors in the dining hall. This helps students understand the scale of waste and its potential impact, such as how many people it could feed. Additionally, the platform includes a menu feature that provides nutritional information for each food item, promoting informed choices and encouraging sustainable consumption habits.

How we built it

Developed an interactive website using HTML, CSS, and JavaScript.

Challenges we ran into

With IoT sensors, food waste data is collected automatically in real-time, eliminating the need for manual input and ensuring accurate, seamless data updates for visualization and analysis.

Accomplishments that we're proud of

Successfully automating food waste tracking, raising awareness through impactful visuals, and creating a user-friendly platform that promotes responsibility and sustainable dining habits.

What we learned

We learned how to integrate IoT with web development, visualize real-time data effectively, and design solutions that promote sustainability and behavioral change.

What's next for Eco-Dine: Real-Time Food Waste Tracking & Nutrition Guide

Next, we plan to enhance the system by integrating advanced IoT devices for more precise waste measurement, incorporating AI for predictive analytics, expanding nutritional insights, adding gamification features to encourage waste reduction, and exploring partnerships to scale the solution to other institutions.

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