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his project is part of my Bachelor Thesis “Optimierung von Jobanzeigen-Plattformen mithilfe von künstlicher Intelligenz und NLP” at TH Deggendorf.

The goal is to design and implement a modular job platform based on microservices, which uses Artificial Intelligence (AI) and Natural Language Processing (NLP) to improve the quality and efficiency of job advertisement platforms.

Key Features (Microservices):

NLP-Filter → Automatically detects and blocks irrelevant, illegal or discriminatory job ads.

CV-Parser → Extracts and structures information from resumes (PDF/images) using OCR and LLMs.

Job Ad Generator → Creates optimized job postings with the help of LLMs.

Recommendation System → Uses Qdrant and embeddings to provide personalized job recommendations.

Integration Layer → Vue.js (TailwindCSS) frontend and Symfony backend.

Dieses Repository widmet sich der Entwicklung eines Data Acquisition Systems (DAQ), das darauf abzielt, Daten effizient und zuverlässig zu erfassen, zu verarbeiten und zu speichern. Das System soll in verschiedenen Anwendungsbereichen eingesetzt werden können, um präzise und konsistente Daten zu sammeln.

Source code for "Operating Systems" at THD (part of "Operating systems and networks").

This is my Computer Vision Project Repository where I will document and upload the files pertaining to the project. The Project is about analysing human eye images and classifying each image into a category of healthy, tired, sick or damaged and also generating an image of what that eye would look like if it was healthy.