Emirhan Akça
Founder of ZEVO — where AI meets sports to unlock every athlete's potential
About Me
A brief introduction to who I am and what I do.
Founder & CEO of ZEVO
Landscape Technician @ Sakarya University of Applied Sciences
I am Emirhan Akça, a Landscape Technician student at Sakarya University of Applied Sciences with a deep passion for Artificial Intelligence, specifically Computer Vision and Machine Learning.
Currently, I am the founder of ZEVO, a startup aiming to revolutionize the sports industry by integrating AI for real-time movement analysis. My goal is to build innovative products that create real-world impact.
Education
Sakarya University of Applied Sciences
Focus
AI & Computer Vision
Projects
Some of the recent work I've done.
ZEVO
An AI sports tech platform transforming smartphones into intelligent training partners with real-time skeleton tracking and posture analysis.
AI Pose Estimator
A lightweight web app leveraging MediaPipe to analyze human poses in the browser using WebGL and TensorFlow.js for real-time inference.
Portfolio V1
My personal portfolio website built to showcase my projects, skills, and journey in the software engineering world.
AI Coach Chatbot
A full-stack implementation of a conversational AI coach specialized in fitness and nutrition using RAG (Retrieval-Augmented Generation).
Technology Stack
The tools powering ZEVO's AI engine.
Artificial Intelligence
Deep learning models for movement classification and performance prediction.
›Developed custom models achieving 96% accuracy in athletic movement classification.
Computer Vision
Real-time body tracking and pose estimation from smartphone cameras.
›Built zero-latency pose estimation pipelines for real-time mobile environments.
Mobile Development
Cross-platform native performance for iOS and Android athletes.
›Architected the ZEVO app scaling to handle complex 3D rendering and live video streams.
Backend & Data
Scalable infrastructure processing thousands of training sessions daily.
›PostgreSQL: Scalable athlete data management with sub-50ms query responses.
Real-time Systems
Low-latency processing for instant movement feedback and live PvP.
›Implemented WebSocket architectures for synchronous multiplayer training experiences.
Product & Design
User-centered design philosophy from research to pixel-perfect implementation.
›Led the complete UI/UX overhaul focusing on contrast and accessibility during workouts.
Let's Connect
Have a project idea or just want to say hello? I'd love to hear from you.