Tuner: Your HR Companion

Traditional recruitment averages 23 days to fill a single position — buried under 250 resumes per opening, scheduling conflicts, and subjective evaluations. Tuner reimagines this pipeline by embedding AI directly into the recruiter's workflow: from candidate screening through interview analysis to final matching. The goal is not to replace human judgment, but to surface the signal hidden in the noise.

Tuner leverages NLP and sentiment analysis for real-time interview transcription, AI tone recognition that reads beyond verbal responses, and machine-learning-powered candidate ranking across key attributes. A matching algorithm cross-references candidate skills, personality profiles, and career preferences against open roles — reducing unconscious bias while improving retention rates by up to 35%.

Designed in Figma with a clean, information-dense interface that consolidates interview planning, appointment scheduling, transcript highlights, and on-demand job allocation into a single mobile experience. Every screen prioritizes clarity over clutter — addressing the core UX failures of existing HR platforms: poor integration, slow processing, and overwhelming interfaces.