Developer Builds AI Tool to Reduce Recruiter Fatigue Bias in Mass Interview Ratings

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A developer is building a full-stack web tool designed to help recruiters maintain consistent candidate evaluations during high-volume interview sessions, such as college placement drives. The system allows recruiters to upload audio or video recordings, which are then transcribed using OpenAI's Whisper API and analyzed by Google's Gemini API for answer accuracy and completeness. Each transcript and AI-generated rating is stored in a database, giving recruiters a reliable reference point rather than depending on memory or notes taken hours earlier. The tool is not intended to automate hiring decisions — the final call remains entirely with the recruiter, while the AI provides an evidence-based assessment of what candidates actually said. The project, built with Java and Spring Boot, is currently in its early stages with database schema design and backend setup underway.

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