ReFood by Team Geek

Donating together, changing together

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TEAM GEEKS

ReFood - Donating Together, Changing Forever

Sustainable Food Redistribution Initiative

1. Introduction

Background:

In the pursuit of eradicating global hunger by 2030, a critical issue surfaces: food waste

management. Up to 40% of food produced in India is wasted due to various factors,

including irrelevant social events and households.

Problem Description:

Our challenge is to create a cutting-edge website that serves as a catalyst to minimize

food waste for sustainable development by ensuring surplus food finds its way to those

who can benefit from it the most.

Objectives:

ReFood aims to connect donors and NGOs seamlessly, enabling surplus food to be

redistributed efficiently. The portal also provides an AI-assisted platform which tracks

an approximate expiry date for the food products in NGOs’ stocks and prevents

contamination.

Tech Stack Used:

Tensorflow

Mongodb Database

Node.js

React.js

Python

Html

CSS

Figma

Canva

2. Initiative Overview

About ReFood:

ReFood is a revolutionary website that serves as a bridge between surplus food donors

and dedicated NGOs, and then further to the needy. It emphasizes simplicity, efficiency,

and positive impact.

Mission and Vision:

● Our mission is to eliminate food waste and hunger through efficient

redistribution.

● Our vision is a world where no surplus food gets wasted when it is the need of

millions.

Core Principles:

● Seamless Connection: Effortlessly linking donors and NGOs.

● Use of Modern Predictive Technology: Usage of Machine Learning Algorithms for

food contamination prevention.

● Data Integrity: Safeguard donor, NGO, and recipient data.

3. Initiative Features

Donor and NGO Registration:

Effortless sign-up for both donors and NGOs, to track past records, fostering

engagement.

Location-Based Matching:

Location based tracking of the nearest NGOs to soothe the working of both donor and

the NGO.

Incentive System:

Encourage consistent donations through rewards such as cash coupons and

merchandise.

AI-Assisted Stock Management:

A feed forward neural network model is used to assist the NGOs in managing their food

stocks. The model uses the parameters like food type (fruit/vegetable), cuisine (north

indian/south indian), storage conditions(room temperature, refrigerated) and so on to

keep a predicted shelf life of the food products. As soon as the contamination time

comes closer, the NGO are reminded repeatedly to distribute the food to prevent

contamination.

4. Use Cases

Donor's Journey:

● Register or log in as a donor.

● Enter surplus food details (quantity, type).

● Choose from nearby NGOs.

● Notification sent to selected NGO.

● Upon approval, donation is confirmed.

NGO's Journey:

● Register or log in as an NGO.

● Receive notification from donors.

● Review and approve donations.

● Timely reminders for distribution.

● Efficiently manage surplus stocks.

5. Impact and Benefits

Reducing Food Waste:

Minimizes food waste by ensuring surplus food reaches those in need leading to

sustainable development.

Environmental Sustainability:

Optimizes transportation, reducing carbon emissions, by tracking the nearest NGOs.

Social Equity:

Promotes equitable food access, fostering social justice.

6. Implementation and Technical Details

Platform Development:

Website development with user-friendly interface and efficient functionality.

Feed Forward Neural Network Model:

AI-driven model predicting food product shelf lives for NGOs.

Data Privacy and Security:

Stringent measures to protect user data and ensure compliance.

7. Future Scope

NLP-Based Enhancements:

Integrating chatbot to guide the user towards a better experience.

Scaling the model - Partnerships and Collaborations:

Collaborate with large organizations with further reach for better resources and

incentives.

8. Conclusion

Using AI and precision mapping, our application completes the chain of supply from the

surplus to the needy, creating a pathway for sustainable growth and development.

Hi Fi Prototype Link:

https://www.figma.com/file/HynfZA5S6oh39YY5OZzOX6/Flux---Figma-Build-Tutorial-(St

arter)-(Community)-(Copy)?type=design&node-id=0-1&mode=design&t=gH3OppSsQBZs

rzN1-0

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