// Berke Uğur Aksakal - AI Engineering Master's Student

Building the bridge between human intent and machine execution

Exploring the frontiers of machine learning, computer vision, and generative models. Bridging theory with practical application.

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01

About

I am an AI Engineering Master's student focused on building intelligent systems that connect machine perception with real user experiences.

My work combines computer vision, sensor data processing, and applied machine learning with mobile development to turn AI ideas into practical applications. From vision-controlled robotics to AI-powered fitness apps, I enjoy transforming complex technology into usable products.

I am especially interested in creating AI-driven mobile experiences that bridge real-world data and everyday interaction.

Master's
Student
Germany
Location
AI/ML
Focus

Technical Focus

→ AI-Powered Mobile Applications
→ Computer Vision & Real-Time Perception
→ Human–Machine Interaction
→ Sensor Data Processing
→ Edge AI & Embedded Integration
→ Applied Machine Learning Systems
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Projects

AI Vision-Controlled Robotic Hand
🥇 Bachelor's Thesis

AI Vision-Controlled Robotic Hand

Real-time computer vision system integrated with robotic hardware for gesture-based control. Combines deep learning, embedded systems, and sensor fusion to bridge human intent with machine execution.

Computer Vision Robotics Real-Time AI Embedded Systems
View on GitHub
AI-Powered Fitness Tracker
📱 Master's Course

AI-Powered Fitness Tracker

Cross-platform mobile fitness application with AI-driven workout recommendations. Combines Flutter development, Firebase backend, and Python-based analytics for personalized training insights.

Flutter Firebase Python AI Analytics
App UI AI System
LiDAR-Based Mapping & SLAM
🛰️ Industry Internship

LiDAR-Based Mapping & SLAM

Real-time environment perception and mapping system using LiDAR sensors. Developed during industry internship, combining sensor processing, SLAM algorithms, and Gazebo simulation for robotics navigation.

Python LiDAR SLAM Gazebo
View on GitHub
Smart Water Meter Monitoring System
💧 Industry Internship

Smart Water Meter Monitoring System

Industrial IoT data engineering system for real-time smart water meter monitoring. Developed during internship at Baylan Water & Energy Meters, featuring payload decoding, multi-interface architecture, and event-driven data processing.

Python LoRaWAN Tkinter Streamlit
View on GitHub
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More Projects Coming Soon

Currently working on exciting new AI research projects

03

Contact

Let's Connect

I'm always interested in discussing AI research, collaboration opportunities, or innovative projects. Feel free to reach out!

berkeuguraksakal17@gmail.com LinkedIn GitHub