Application flow and evaluation process

Application Flow

Input: HR uploads JDs and provides access to a drive containing all resumes.

Resume Analysis: The app processes the resumes, matches them against the JD, and ranks candidates by matching accuracy.

Candidate Shortlisting: Selects the top candidates based on matching scores (e.g., top 10 resumes).

Interview Transcripts: HR uploads interview transcripts stored in Google Docs.

Transcript Analysis: Compares transcripts with JDs and evaluates candidates on three key criteria:

Primary Skills: Must-have skills. Secondary Skills: Good-to-have skills. Domain Expertise: Responsibilities and domain expertise.

Question Analysis: Aligns interview questions with a predefined question bank categorized into:

Advanced Questions Medium Questions Easy Questions

Rating: Generates scores for each question category and overall candidate performance.

Report Generation: Prepares a report highlighting candidates' strengths and weaknesses.

Evaluation Process

Resume Matching: Uses LLM to calculate matching accuracy between resumes and JDs. Transcript Evaluation: Analyzes transcripts for: Alignment with primary and secondary skills. Domain expertise. Question Difficulty Assessment: Evaluates candidates based on the complexity of questions answered. Overall Scoring: Combines resume matching, skill evaluations, and question difficulty ratings to generate a final score for each candidate.

Expected Outcomes

Time Efficiency: Reduces the time spent on resume screening and interview evaluation.

Improved Accuracy: Enhances candidate selection by using objective and data-driven methods.

Standardized Assessments: Provides consistent and fair evaluations across all candidates.

Insightful Reporting: Delivers detailed insights into candidates’ capabilities, helping HR teams make informed decisions.

Scalability: Handles large volumes of resumes and interviews with ease