software engineer · student · ai
Hi, I’m Kwaku Amo-Korankye, a final-year AI major at Academic City University, and I’m passionate about using AI to make a real difference in people’s lives. Right now, I’m working on an AI-based diagnostics platform that helps analyze medical imaging with deep learning to make healthcare decisions faster and more accurate. I’m also building a daily news email bulletin that curates updates tailored to each user—projects that bring AI into everyday life in meaningful ways.
I care deeply about performance and UI/UX of applied AI systems. I am also an avid enjoyer of building something people want. I’m eager to explore the latest AI research, deepen my expertise, and collaborate with fellow enthusiasts and professionals on groundbreaking projects. At the same time, I’m hands-on with customizing deep learning architectures and turning ideas into practical, user-friendly tools. My ultimate goal is to push boundaries and develop AI-driven solutions that truly make a difference in people’s lives.
Contributed over 12 hours weekly to annotate picture-based datasets using bounding box, key point techniques, enhancing the accuracy of computer vision models while collaborating with the team to review and ensure high-quality annotations.
CVAT • LabelBox
Promoted financial inclusion and entrepreneurship among students and staff through targeted financial literacy programs, outreach, and marketing initiatives.
Python • Web Payment Widget Integration
Developed a web application that streamlined system development and automated internal processes. Spearheaded AI and API integration projects, focusing on Google Cloud technology to boost platform functionality. Developed the project as a strategic initiative during mNotify's Google for Startups cohort.
Python • Google Cloud API • NLP • TTS • STT • Streamlit
Directed AI Engineering and Software Development initiatives, including the creation of an innovative Video Processing software for Dobiison's DRIIP programme.
Python • Javascript • 360 Imaging
An AI-powered platform designed to assist healthcare professionals by providing accurate and efficient diagnoses from medical imaging. Using advanced computer vision techniques, the app supports clinical decision making by analyzing X-rays, CT scans, and MRI images to detect the conditions; bone fractures, brain tumors, breast cancer, and lung cancer.
With an intuitive interface, it allows doctors to upload images, receive detailed analyses, and view heatmaps highlighting areas of concern. By enhancing early detection, improving treatment planning, and reducing workloads, the platform aims to bring AI-driven diagnostics closer to patients and healthcare providers worldwide.