AI / ML · Final year project topic
Resume / JD Matcher — final year project kit
Get an explainable ATS match score between a resume and a job description. A complete AI project kit with working code, report, presentation, and viva prep.
Problem this project solves
Upload a resume and paste a job description to get a match score broken into four named, weighted components — skill match, semantic fit, experience, and education — plus specific missing skills and concrete improvement suggestions. Built to be auditable: every score traces back to a visible reason, not one opaque AI judgement.
Who it fits
B.Tech CSE, MCA, and BCA students building AI/ML demos.
Tech stack
- Streamlit
- pymupdf4llm
- python-docx
- sentence-transformers
- Plotly
- Groq API
What you can defend in viva
- ▸Score breakdown shown as a radar chart across 4 components
- ▸Semantic skill matching — recognizes “ML” and “Machine Learning” as the same skill
- ▸Lists specific missing must-have and nice-to-have skills by name
- ▸Generates specific, non-generic improvement suggestions
What's in the kit
- Full working Streamlit application
- 8-chapter Word report (including the scoring methodology)
- 14-slide presentation deck
- Viva question bank with cheat sheet and pitch script
- Sample resume + 2 job descriptions for your demo
Packages from ₹1,499 · Book any project from ₹49 to lock the slot, then confirm tier on WhatsApp.