Mert Alp Altay

I worked on the emotional states and humanoid characteristics of artificial intelligence in the Pepper project, a humanoid robot, a versatile programmable robot with strong social abilities.
Pepper, which can be used as a service robot, as a business assistant or as a maid, was developed as a product of @softbankRobotics (a part of United Robotics Group). Pepper is a robot that can read emotions and change emotional states. Its most important feature is that it interacts with people and chooses and exhibits its own reactions according to the behaviors it sees from people. Pepper collects data with its cameras, touch sensors, speakers and acceleration sensors and can react emotionally, such as rejoicing, speaking out loud, sighing, or getting nervous in a dark environment. It adapts to personal tastes and habits because it remembers personal characteristics and preferences. With its mood engine and cloud-structured AI mechanisms, it produces realistic and surprising humanoid reactions. In the department where I interned, I had the opportunity to learn how AI uses text data to understand human emotions, how AI is trained and how emotional analysis is done. How AI analyzes human emotions and changes emotional states is a very interesting area of study for me, I especially focused on emotional analysis and had the opportunity to work on data analysis and model development in the integration of technique and emotion.

During this internship, I focused on artificial intelligence and was part of a team working specifically on how AI can be used to understand human emotions
One of the most exciting projects I worked on was helping to develop an emotional analysis model, where AI is trained to recognize and interpret emotions from text data. The deep insight I gained from this project was about combining technology with human understanding


working with complex algorithms, in collaboration with team members, I had the opportunity to work on how AI shows both the technical side and the human side, with a particular focus on emotional analysis
I learned a lot from my mentors in data analysis and model improvement. new and difficult tasks made me focus and feel that I really wanted to do this job. from analyzing data to improving AI models, every work I did motivated me and group work was a lot of fun.

Designing sub pages of Turkish National Agency website, including information about sub activities Erasmus+ Programme, assisting and supporting software specialist for the maintenance of TURNA website (http://turna.ua.gov.tr Turkish NA Electronic Project Management System) And the develeopment of TURNAPORTAL App under IOS/Android

I worked as an intern in the software development team in the CRM customer tracking system developed in the company's information technologies department.
This system is an artificial intelligence model that analyzes the demands and emotional states of customers, evaluates the data and proposes the best sales strategies to increase customer satisfaction and efficiency in the sales process, and is developed by providing continuous updates and data inputs. Working in this team was very exciting and helped me improve myself.

During my internship, I participated in a team working on artificial intelligence, I was in the research team on how to analyze data, how artificial intelligence does emotion analysis, collecting data, analyzing data, I witnessed studies on how artificial intelligence gains humanoid features, in this internship, I decided that the subject of artificial intelligence is an interesting and endless field of study and that it would make me very happy to choose this field professionally.