AI-Powered Resume Screener with Bias Auditing
Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate
About this project
Build an ML system that ranks resumes against a job description. Critical twist: explicitly audit for demographic + caste/region/gender bias using counterfactual fairness tests. Deliverable includes a fairness-impact report + mitigation strategy (debiasing word embeddings, demographic-blind features).
Course Learning Outcomes (CLOs):
CLO1: Build an end-to-end ML system for a real HR use-case.
CLO2: Apply fairness metrics + counterfactual analysis.
CLO3: Iterate on mitigation strategies + measure impact.
CLO4: Document ethical risks + recommended deployment guardrails.
CLO5: Engage with ethics in AI in a defensible manner.
Industry/societal relevance: India's draft Digital Personal Data Protection Act (DPDPA) makes algorithmic-fairness audits a hiring filter for HR-tech; Hiretual, HirePro, Eightfold AI India.
Milestones
Skills you'll learn
Tools used
Prerequisites
Available mentors
No mentors have signed up for this project yet.
Be the first to mentorYou'll earn — Certificate (PDF)
AICTE-aligned Project Completion Certificate
A formal, audit-ready PDF certificate issued by Assessfy + your institute on successful completion. Includes AICTE credit hours, your evaluator's signature, and a QR code for third-party verification.
AICTE-aligned
Certificate of Project Completion
This is to certify that
has successfully completed the project
AI-Powered Resume Screener with Bias Auditing
You'll earn — Digital Badge
Shareable LinkedIn / Resume Skill Badge
A compact, verifiable Open-Badges-2.0-compliant digital credential. Add to your LinkedIn profile, GitHub README, or resume in one click. Recruiters can validate authenticity via a unique URL.
Similar Projects you might like
Hand-picked by the recommender from your program & skill area.
Relevant Certifications to boost your application
From the Assessfy Certification library — take one and add it to your resume / LinkedIn before applying.