Building a Resume Parser

[highlight=rgb(255, 255, 255)]📄 Capstone Project: Building a Resume Parser

[highlight=rgb(255, 255, 255)]🚀 Objective

[highlight=rgb(255, 255, 255)]Design and implement a Resume Parser capable of extracting structured information (e.g., name, contact details, work experience, skills, education) from resumes in various formats such as PDFs, Word documents, and plain text. Students can choose to use either non-LLM models (e.g., rule-based approaches, regular expressions, classical ML) or LLM models (e.g., GPT, BERT) to accomplish the task.

[highlight=rgb(255, 255, 255)]🛠️ Project Scope

[highlight=rgb(255, 255, 255)]📊 Deliverables

[highlight=rgb(255, 255, 255)]💡 Additional Features (Optional)

[highlight=rgb(255, 255, 255)]🎯 Learning Outcomes

[highlight=rgb(255, 255, 255)]🔗 Tools and Resources

[highlight=rgb(255, 255, 255)]This project will simulate real-world applications used by Applicant Tracking Systems (ATS) and recruitment platforms, providing students with a portfolio-worthy experience. 🚀

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