
Mini-Game: Plasma Globe Simulator
I developed this mini-game in vanilla HTML, CSS, and JavaScript (+ jQuery) to present my projects in a fun and authentic way. The objective is to explode everlasting and randomized projects under the plasma ball đ
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- Mouse movements: Change the plasma ball position
- Mouse left-click: Explode the projects affected by the plasma arcs
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- Touch any point on the screen: Change the plasma ball position
- Successive touch: Explode the projects affected by the plasma arcs

Kutluhan Aktar
Independent Researcher | Product, AI, and Software Developer | Maker | Proof-of-Concept Solutions
Hi, welcome to my portfolio website. I am an independent researcher focusing on demonstrating the ideas and solutions I conceptualized regarding various domains and disciplines, from industrial operations to agriculture. In relation to the research subject and the experiments I am conducting, I develop products, neural network models, and distinctive application software. Since I primarily apply the Artificial Intelligence of Things (AIoT) methodology so as to develop my solutions, I always collate unique data while generating my datasets and elaborate my data collection techniques in addition to providing the results of my experiments.
As for my background, I was an aspiring physics major and enjoyed applied physics studies. In 2018, I decided to leave my university and pursue my vocation to be an independent researcher. Since I gained all of my skills in product, AI, and software development through self-education, including but not limited to writing comprehensive and concise tutorials in English, I improved the quality of my proof-of-concept projects gradually but effectively. After honing my skills and understanding of intertwined development procedures, such as PCB designing, 3D model designing, and machine learning & AI, I was confident enough to produce complex and innovative proof-of-concept projects worthy of an independent researcher.
Of course, I would not be able to pursue independent research and fulfill my AI-driven solution concepts for real-world problems without the unwavering and continuing support of pioneering tech companies, such as Edge Impulse, DFRobot, Particle, Seeed Studio, PCBWay, and Elecrow. Thanks to their assistance and sponsorships, I was able to utilize state-of-the-art infrastructures, services, and sensors to devise innovative proof-of-concept projects and accomplish my authentic and intricate builds as a full-time occupation.
I also got tremendous help and kindness from renowned maker communities, especially Hackster, while publicizing my independent research projects, accumulating an audience, and participating in worldwide contests to highlight my unique projects and solutions.

AI-based Aquatic Ultrasonic Imaging & Chemical Water Testing
Identify noxious air bubbles lurking in the substrate w/ ultrasonic scans and assess water pollution based on chemical tests simultaneously.

Digital twin-enabled Smart Shipping Workstation w/ Omniverse
Exploring the digital twin synthetic data generation and AI-oriented advancements on real-world shipping operations w/ NVIDIA Omniverse.

AI-driven LoRa & LLM-enabled Drive-through Kiosk & Food Delivery System
A research project on developing a full-fledged drive-through kiosk and food delivery system, utilizing LLMs to generate user-specific menus/deals.


AI-driven LoRaWAN Fertilizer Pollution Detector w/ WhatsApp
Collect data to train a NN to detect fertilizer contamination. Then, get informed of the results via WhatsApp over LoRaWAN.

AI-driven BLE Travel Emergency Assistant w/ Twilio
Detect keychains to inform emergency contacts via WhatsApp / SMS. Display results via BLE. Let contacts request location info from Maps API.

AI-driven Interactive Lab Assistant w/ OpenCV & ChatGPT
In remote learning, provide insightful guidance on lab equipment as auto-generated lessons via object detection and artificial intelligence.


IoT AI-driven Yogurt Processing & Texture Prediction w/ Blynk
Collect environmental factors and the culture amount while producing yogurt. Then, run a neural network model via Blynk to predict its texture.

IoT AI-assisted Deep Algae Bloom Detector w/ Blues Wireless
Take deep algae images w/ a borescope, collect water quality data, train a model, and get informed of the results over WhatsApp via Notecard.

AI-assisted Air Quality Monitor w/ IoT Surveillance
Log NO2, O3, and weather data, train a NN model to detect air pollution, and display real-time results w/ surveillance footage on a PHP web app.
