AI Guard -Resume Evaluator 2.0

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1.) Inspiration

Recruiters spend countless hours screening resumes, often struggling with bias and inconsistent evaluations. We wanted to create a tool that makes hiring faster, fairer, and more data-driven.

2.)What it does

AI Guard evaluates resumes instantly using machine learning and NLP. It provides an overall percentage score for each candidate, highlighting the best-fit applicants while reducing bias and saving HR teams significant time.

3.)How we built it

Backend: Python, NumPy, pandas, spaCy for NLP

Frontend: Streamlit for an interactive web app

ML Models: Evaluate candidates based on historical data and job requirements

Data Extraction: Automatically parses skills, experience, education, and other resume details

4.)Challenges we ran into

Handling diverse resume formats and inconsistent structures

Designing scoring metrics that fairly balance skills, experience, education, and resume quality

5.)Accomplishments that we're proud of

Achieved 90% improved accuracy in candidate evaluation

Developed a holistic scoring system that considers skills, experience, education, and resume quality

Delivered results in seconds, making large-scale screening feasible