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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.