Abu Turab Safi@abu_turab432

In today’s competitive job market, both job seekers and employers face major challenges. Many candidates struggle to tailor their resumes effectively for different industries, and hiring managers often find it difficult to quickly identify the most suitable applicants. According to LinkedIn, over 75% of resumes fail to highlight relevant skills, leading to a significant gap between talent and opportunity. The Smart Resume Analyzer & Job Predictor addresses this problem by leveraging artificial intelligence and natural language processing (NLP) to automate and enhance the hiring process. This system transforms recruitment by analyzing resumes and predicting ideal job roles based on each candidate’s profile. How It Works Resumes in PDF or DOCX format are uploaded through a user-friendly Streamlit interface. The documents undergo text extraction using PyPDF2 and python-docx, converting unstructured content into analyzable text. The system then uses spaCy and custom-trained NLP models to deeply understand the context of the content—moving beyond simple keyword matching. The extracted data is normalized and analyzed to identify: Personal and Company Names Experience Timeline Educational Background Technical and Soft Skills A custom skill-matching algorithm compares identified skills with a curated database and prioritizes them based on job requirements. Finally, the system recommends suitable job roles and provides actionable feedback to help candidates optimize their resumes.