In todays world where wastage of essential items is a problem and needy people suffer because of it. people want to donate but the lack a platform which works as a bridge between NGOs and Donors. In this paper, we are introducing an AI-Enhanced donation management system which is easy to use and reliable for the donation of food, medicine, clothes, books and toys. Our system has dedicated dashboards for NGOS as well as donors for clear communication. We used Optical Character Recognition for scanning medicine expiry date and batch number, FAQ Chatbot for easy donation instruction, and Geolocation for tracking nearby NGOS.
Introduction
The proposed AI-powered Donation Management Platform bridges the gap between donors and NGOs, ensuring that essential items like food, clothes, and medicines reach those in need. The system connects verified NGOs and genuine donors through a secure, transparent, and user-friendly digital platform.
Built using the MERN stack (MongoDB, Express, React, Node.js), the platform allows NGOs to list their needs and donors to contribute accordingly. Key technologies include:
AI chatbot for user assistance and query handling.
OCR (Optical Character Recognition) for verifying medicine donations.
Geolocation tracking for monitoring real-time pickups and deliveries.
Reward system that offers donors appreciation coupons after every three donations.
Both NGOs and donors have personalized dashboards to manage activities, list emergencies, and track donations.
The system promotes safe, smart, and efficient donation management, making giving easier and more transparent. Future improvements include blockchain integration for enhanced security, multilingual chatbot support, and AI-based trend prediction to anticipate future donation needs.
Conclusion
AI-enhanced donation management system brings together the best of modern technology to make giving simple, safe and more rewarding. By combining AI,OCR and geolocation, we offer a secure and transparent way of the collaboration of NGOs and donors. The reward system encourages donors to donate more. Looking ahead we plan to add blockchain for transparency and multilingual support. We conducted a dry run of our system with multiple NGOs and donors, and observed: The dashboards are simple and intuitive for everyone to use. The OCR system in the medicine information was more accurate (over 95%). The AI chatbot was designed to handle common questions, so support staff wouldn’t get bogged down. It was our way of rewarding to share more often. Real-time geolocation tracking instilled trust, being able to see where the donations were at all times. In general the platform was stable, scalable and helpful for both NGOs and donors.
References
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