AI-Based Resume Analyzer
An AI-powered tool that analyzes resumes against job descriptions, providing match scores, skill gap analysis, and improvement suggestions. Built as a demonstration of practical NLP applications in HR technology.
Project Overview
An AI-powered tool that analyzes resumes against job descriptions, providing match scores, skill gap analysis, and improvement suggestions. Built as a demonstration of practical NLP applications in HR technology.
Problem Statement
Recruiters spend excessive time manually screening resumes, leading to inconsistency, bias, and delayed hiring processes. Small teams lack resources for sophisticated ATS systems.
Proposed Solution
An intelligent resume analyzer that uses NLP to parse resumes, extract skills and experience, and match them against job requirements with explainable scoring.
Key Features
Technology Stack
Project Screenshots
Development Process
Research
3 weeks- Literature review on resume parsing techniques
- Dataset collection and annotation
- Model selection and benchmarking
Prototyping
4 weeks- NLP pipeline development with spaCy/Transformers
- Matching algorithm design
- API development with FastAPI
UI Development
3 weeks- React/Next.js frontend development
- Results visualization components
- Batch upload interface
Evaluation
2 weeks- Accuracy testing on annotated dataset
- User testing with HR professionals
- Bias audit and mitigation
Challenges
- Handling diverse resume formats and layouts
- Accurate skill extraction from unstructured text
- Balancing precision and recall in matching
- Mitigating bias in automated screening
Results & Outcomes
- 85%+ accuracy in skill extraction on test dataset
- Reduced screening time by 70% in simulated workflows
- Open-sourced core NLP pipeline for community use