About ResumeScanner
A research project designed to help students improve their resumes through AI-powered analysis and personalized feedback
How It Works
Advanced NLP technology meets practical career guidance
Intelligent Resume Analysis
Our Natural Language Processing algorithms analyze your resume's content, structure, keywords, and formatting to provide comprehensive, personalized feedback.
- NLP-powered content analysis
- Keyword optimization suggestions
- ATS compatibility scoring
Job Description Matching
Compare your resume against real job descriptions from platforms like LinkedIn and Indeed to identify gaps and opportunities for improvement.
- Real-time job market analysis
- Skill gap identification
- Industry-specific feedback
BSU Resources Integration
Get personalized recommendations for BSU's academic and career services, including tutoring, courses, and on-campus job opportunities.
- Campus resource recommendations
- Academic program guidance
- Career center integration
Curated Learning Resources
Access a carefully curated list of online courses, certifications, and learning materials to help you develop the skills identified in your analysis.
- Skill development recommendations
- Certification guidance
- Learning pathway suggestions
Built with Modern Technology
Leveraging cutting-edge technologies for reliable performance
JavaScript
Frontend interactivity
Python & Django
Backend processing
PostgreSQL
Data management
AWS
Cloud hosting
Research Impact
Built through the Adrian Tinsley Program at Bridgewater State University
Research Team
The minds behind this innovative project
Natalio Fernandes Teixeira Gomes
BSU Computer Science Student & Project Lead
A Computer Science student with a passion for solving real-world problems through technology. Currently pursuing his degree at Bridgewater State University while serving in the Army Reserve. His personal experience with job search challenges inspired this research project.
Research Methodology
This project follows a structured software development lifecycle as part of the Adrian Tinsley Program research initiative. Our methodology integrates academic research with practical application, ensuring both scientific rigor and real-world utility.
Research Question
How can technology be used to provide job seekers with constructive feedback on their resumes and provide resources where users can develop those skills?
Target Outcome
A functional web application that generates personalized feedback and resources to support users in improving their resumes and enhancing their job search success.
Ready to Improve Your Resume?
Join the research community and help us improve career outcomes for students everywhere. Your participation contributes to ongoing research while enhancing your own job search prospects.