HS-KL Students - Artificial Intelligence

KI-ndervideos: Vollautomatische Erstellung von Kinderlerninhalten mittels KI-Pipelines

Einleitung Die Idee für dieses Projekt entstand aus einem persönlichen Bedürfnis: Wie kann man schnell und unkompliziert Lernvideos für ein Kind erstellen, das gerne Englisch lernen würde? Die Erstellung von qualitativ hochwertigem Lernmaterial ist extrem zeit- und ressourcenintensiv. Professionelle Videos erfordern Kenntnisse in Grafikdesign, Videobearbeitung, Vertonung und Musikproduktion. Daher war

Analyse von Facebook-Stellenanzeigen

Dieser Artikel beschäftigt sich mit der Analyse von Facebook-Stellenanzeigen mittels Python. Das Ziel dieses Projekts ist es, ein Tool zu bauen, welches folgende Funktionen anbietet: Performance Analyse der Stellenanzeigen Stellenanzeigen miteinander durch KI vergleichen Die Jobtitel der Stellenanzeigen durch KLDB-Klassen klassifizieren Motivation Der Artikel enthält die Ergebnisse unserer Projektarbeit des

An Insight into American Football (NFL)

Introduction American football is one of the most popular sports in the USA and enjoys worldwide popularity. The final game of the National Football League (NFL), the Super Bowl, is one of the biggest sporting events in the world and attracts millions of spectators every year. Due to the high

Create advertising campaigns at the touch of a button

Introduction In the digital world, an online presence is essential for companies. But effective marketing can quickly become expensive, especially when experienced professionals are needed. Even experienced marketers need time to design a campaign. As artificial intelligence is increasingly being used for precisely such time and money-intensive tasks, we wanted

Summarizing Forum Threads Using Large Language Models

This project was a part of a master's degree lecture on Deep Learning in computer science at the Kaiserslautern University of Applied Sciences. It was conducted under the supervision of Professor Dr. Bastian Beggel. Internet community platforms, especially discussion forums on specialized topics with a knowledgeable community, quickly grow to

Tell-HS-KL (RAG): How AI can explain your university?

Students and applicants need a wide range of information to find their way around in university life. What are the requirements for my study? Which person do I need to address for my internship? Which study programme suits me? The first source of information is a university’s website. But

Use of LLMs as a Socratic teacher in the context of database teaching

The DBCoach (https://dbcoach.hs-kl.de/) is an interactive eLearning program at Kaiserslautern University of Applied Sciences that is designed to help users learn SQL and Java. As part of the course "Deep Learning", it was evaluated whether and how Large Language Models (LLM) can be connected to

AI infrastructure at a modern applied university: a look behind the scenes

The topic of artificial intelligence (AI) has become increasingly important and relevant in recent years. The majority of the population now consciously uses AI systems in their everyday life, such as the chatbot system ChatGPT or voice assistants like Siri and Alexa. However, we are also increasingly interacting unconsciously with

Mastering Othello: Unleashing the Power of Double Deep Q-Learning

Our Motivation Why did we choose Q-Learning? This team project was part of the Deep Learning SS23 course under the guidance of Professor Beggel. The main objective was to create an AI agent that could kick butt at the game of Othello. Have you heard of Othello? It is a

Playing Othello with a CNN

Board games and artificial intelligence have long been closely linked. Even in the early days of AI research in the 1950s, games like chess and checkers were used as testbeds for algorithmic decision-making. Because of their controlled environment with clear rules, they are ideal for developing AI. But advances in

Playing Othello with a Reinforcement Agent

Contents Introduction Environment and Setup Realization Conclusion References Introduction In the summer term 2023 we learned the basics of artificial neural networks in the course Deep Learning with Prof. Dr. Bastian Beggel. Depending on the field of application, different learning methods are used. There are three main categories: supervised, unsupervised

Image Colorization

ImaginatorWeb site created using create-react-appClick here to open the demoThis project is about the colorization of black and white images. The goal of the project was to create a website where you can upload a black and white image and get the colored image back. The "Colorful Image Colorization" project

Chinese Whispers

The purpose of this project is to offer a web service where the features of the Google Cloud Platform can be explored. In particular the web service will use the Cloud Translation and Speech-to-Text API. The web service is called "Stille Post", which can be translated into "Chinese whispers", a

Project

Hochschulassistent Mario

This project was developed as part of the Deep Learning course at Kaiserslautern University of Applied Sciences in the summer semester of 2021. The project is a chatbot that primarily answers questions about Kaiserslautern University of Applied Sciences. The primary target groups are people interested in studying and current students.

Deep Learning