Auto Interview AI
Reimagining Recruitment with AI-Powered Interview Automation
Introduction
Recruitment processes often demand significant time and human effort for screening, interviewing, and evaluating candidates. Manual interviews are inconsistent and prone to bias, making it hard for organizations to scale hiring efficiently.AutoInterviewAI was designed to revolutionize this process through automation. The platform uses AI-driven question generation, voice-based interviews, and real-time evaluation to streamline recruitment and improve objectivity.
Tech stack
- AI/ML - OpenAI GPT, Google Speech-to-Text,AWS Transcribe
- Database - PostgreSQL / MS SQL Server
- Visualization - Flask, FastAPI, React
- Cloud (AWS) - Transcribe, Polly, RDS, Elastic Beanstalk,S3, CloudWatch
Objectives
Automate Interview Workflow
Eliminate manual screening and interviewing through an AI-driven system.
Ensure Fair Evaluation
Reduce human bias by applying standardized and data-driven scoring criteria.
Enhance Candidate Experience
Offer interactive, voice-based interviews with adaptive questioning.
Provide Real-Time Insights
Provide Real-Time Insights
Enable Scalable Hiring
Support simultaneous interviews and large-scale candidate assessments.
Development Process
Requirement Gathering
- Collaborated with HR teams to define interview workflows and evaluation metrics.
Resume Parsing
- Built modules to extract candidate data and key skills from varied resume formats.
AI Model Integration
- Used OpenAI GPT to generate job-specific and adaptive interview questions.
Voice Interaction Setup
- Integrated Google Speech-to-Text and AWS Transcribe for speech recognition and Amazon Polly for voice responses.
Backend Development
- Developed APIs using Flask and FastAPI for interview logic, scoring, and data management.
Frontend Interface
- Built an intuitive React dashboard for recruiters to track interviews and reports.
Testing & Refinement
- Conducted speech accuracy, bias detection, and response consistency testing.
Deployment & Monitoring
- Deployed on AWS Elastic Beanstalk with continuous monitoring through CloudWatch.
CHALLENGES
Resume Data Variability
- Handling diverse resume structures, formats, and file types accurately.
Speech Recognition Accuracy
- Managing accent variations and background noise in voice inputs.
Adaptive Questioning Logic
- Ensuring the system asks relevant follow-up questions dynamically.
Bias Prevention
- Avoiding unintended bias in AI-generated questions and scoring models.
Data Privacy & Security
- Protecting sensitive candidate information during voice recording and storage.
Results
60% Faster Hiring
Reduced overall recruitment preparation and evaluation time significantly.
Improved Consistency
Delivered uniform and unbiased interviews across candidates.
Higher Candidate Engagement
Voice-based interaction enhanced candidate comfort and responsiveness.
Data-Driven Decisions
Recruiters relied on structured evaluation reports for fair comparisons.
Scalable Hiring Capability
Supported parallel interviews for multiple roles simultaneously.
Solution
AI-Powered Resume Parsing
Extracted skills and experience using NLP models to match job requirements.Dynamic Question Generation
Used GPT-based logic to generate adaptive, context-aware interview questions.Voice Interaction Module
Enabled real-time conversation flow using AWS Transcribe and Polly.Automated Scoring System
Implemented rule-based and AI-driven scoring to assess candidates objectively.Recruiter Dashboard
Provided centralized access to evaluation reports, scores, and candidate insights.Conclusion
AutoInterviewAI transformed traditional hiring into a fast, unbiased, and intelligent process. By automating resume analysis, interview questioning, and evaluation, it helped HR teams reduce hiring time by 60%, improve consistency, and enhance candidate experience through an interactive, voice-driven interface.
