Structured Resume Skill Extraction Using Mistral-7B Inference

**Structured Resume Skill Extraction Using Mistral-7B Inference**

Introduction Resumes are stored as unstructured documents such as PDFs, which makes it difficult for software systems to extract and analyze candidate information. Recruiters and hiring platforms need structured data like skills, job roles, companies, and years of experience to efficiently search, filter, and evaluate applicants. In this tutorial, you will build a resume skill extraction pipeline using the Mistral-7B language model running on a DigitalOcean GPU Droplet. Using Python, you will process resume PDFs, extract their text, and send it to the model for structured information extraction. By the end of this tutorial, you will have created a pipeline that processes multiple resumes and exports the extracted candidate information into a JSON file and an Excel spreadsheet for easy review and analysis of candidate profiles...

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