ITDS | SPMS

Design And Implementation of a Web Platform for Enhancing Blood Donation and Supply Chain Management in Ghana

Project Description
Supervisor

Healthcare depends on blood donation to help save countless patients with life-saving blood. Nevertheless, in Ghana the process has several impediments thereby being characterized by poor donor turnout, information deficit, and poor supervisory management of the blood supply chain. These problems cause extreme shortage of blood in the hospitals, leading to life danger. First, these challenges are addressed by this project, which involves the design and implementation of a web platform to improve blood donation and blood supply chain management in Ghana. Donors will be able to sign up easily, make apptoointments and follow up on their donation, hospitals will be able to request different blood types in real time. Improved inventory management coordination with hospitals will derive benefits for the Ghana Blood Bank. Further, the platform will have an educational module which aims at spreading public awareness about blood donation. It is the expected outcome that blood donation process that leads to a streamlined, efficient, and reliable blood donation process which creates room for efficient healthcare delivery in Ghana.

Machine Learning: Machine Learning (ML) research in Computer Science and Information Technology focuses on the development of algorithms and models that enable computers to learn from data and improve their performance over time without being explicitly programmed. It is a subset of Artificial Intelligence that uses statistical techniques to give machines the ability to learn patterns, make decisions, and predict outcomes based on data. Supervised learning, a key area of ML research, involves training models on labeled data, where the input-output relationships are predefined. This method is widely used for tasks such as classification (e.g., spam detection) and regression (e.g., predicting house prices). Unsupervised learning, on the other hand, involves finding hidden patterns in data without predefined labels, with clustering and association being typical applications in areas such as customer segmentation and anomaly detection. Reinforcement learning is another area of ML that focuses on teaching agents to make decisions by interacting with their environment and receiving feedback in the form of rewards or penalties. It is often applied in robotics, game playing, and autonomous systems, where continuous learning and adaptation are required.

Develop and deploy an online platform that helps donors schedule giving and providing blood helps hospitals obtain blood from the Ghana Blood Bank while enhancing public understanding of blood donation importance

2024/2025

Feb 3, 2026

APPIAGYEI YAW KONADU ANTWI, ASAMOAH AGYEMANG SOLOMON, SONKPI EVARASTUS,

Diploma Information Technology