Emmanuel Micaiah Afriyie
I build modern, responsive, and accessible web applications.
About Me
You can also call me Faithology—my tech name—a lover of truth and people.
I'm a developer passionate about creating intuitive, user-friendly applications that solve real-world problems. With a focus on clean code and modern technologies, I strive to build digital experiences that are both functional and aesthetically pleasing.
I strongly believe that if everyone understood what true love really is, the world would be a much better place. I’m confident that this understanding could help break down racial and ethnic barriers, allowing people to coexist peacefully.
Skills
- JavaScript
- HTML5
- CSS3
- React
- Node.js
- TypeScript
- Git
- Responsive Design
- UI/UX
- Astro
- Vite
- Next.js
- NativeScript
- Vue.js
- Svelte
- Angular
- Python
- Java
- Machine Learning
- REST API
- GraphQL
Experience
Projects
Church Management System
Church Management System A powerful and user-friendly system to streamline church operations, manage members, track finances, and organize events efficiently.
- Vuejs
- Node.js
- Ruby on Rails
- PostgreSQL
- Tailwind CSS
HMS
A comprehensive healthcare management solution designed to help doctors efficiently manage and care for their patients.
- JavaScript
- HTML/CSS
- Flask
- Python
- REST API
- React
- Node.js
- TypeScript
- PostgreSQL
Sharmah
Sharma is a web-based chatbot built with Python and Flask that provides a friendly conversational interface for users.
- Python
- Flask
- JavaScript
- HTML/CSS
- RAG
OnC
A model and intuitive platform designed to empower learners of all backgrounds through interactive lessons, real-world applications, and personalized learning paths
- JavaScript
- HTML/CSS
- ReactJS
- Three.js
- Node.js
- PostgreSQL
Advanced Movie Recommender
A smart movie recommendation system that combines different machine learning techniques to understand your tastes and suggest movies you’ll truly enjoy.
- ReactJS
- SASS/SCSS
- NodeJs
- Python
- Flask
- Docker
- Bash
- Machine Learning
Affecto
An Emotion Analytics Dashboard that uses facial recognition to detect and analyze human emotions in real-time.
- JavaScript
- HTML/CSS
- Affectiva API
- Python
- Pydantic
- Chart.js
Get In Touch
I'm currently open to new opportunities and collaborations. Feel free to reach out if you'd like to work together or just say hello!
Say Hello