AI
Resume Skill Matcher
Match resumes to job skill keywords.
Project overview
Resume Skill Matcher is a mentor-guided AI project designed for university submission. AI utility that extracts keywords from resumes and scores match against a job description skill list. The build uses Python, spaCy, Streamlit and is structured so you can explain architecture, modules, and test cases during viva. Typical delivery timeline is 3–4 weeks depending on package and college deadlines.
Best suited for: CSE / AI&DS students focusing on computer vision or NLP applications
Tech stack
Objectives
- Design and implement a working solution for “Resume Skill Matcher” aligned to academic evaluation criteria.
- Demonstrate core features such as PDF text extract, Skill score, Gap list.
- Produce documentation (synopsis, report chapters, and PPT) suitable for guide approval.
- Prepare viva-ready explanations for design choices, tech stack, and future enhancements.
Key modules
- Module: PDF text extract
- Module: Skill score
- Module: Gap list
- Documentation, deployment notes, and viva Q&A
Key features
- PDF text extract
- Skill score
- Gap list
- Simple UI
Deliverables
- Source code
- Report
- PPT
Learning outcomes
- Runnable source code with setup guide
- University-style report draft
- Presentation deck (PPT)
- Mentor review checkpoints
