Building an Open-Source AI Mock Interviewer with Resume Personalization & Answer Coaching

Описание и применение

Создано открытое решение для симуляции интервью с персонализированными вопросами, основанными на резюме, и подробными рекомендациями по улучшению ответов.

Задача

Static interview question lists fail to simulate dynamic conversations and do not probe a candidate’s actual resume claims.

Результат

The simulator delivers personalized interview practice, real‑time scoring, and concrete coaching, enabling candidates to track progress over time.

Рабочий процесс

• Upload resume (PDF/TXT) or paste experience
• LLM parses resume and generates tailored questions
• Candidate answers questions
• LLM evaluates response, scores, and offers improvement tips
• LLM reveals model answer
• Session data stored in MongoDB for longitudinal tracking

Доказательства

Upload your resume (PDF/TXT) or paste your experience. The AI analyzes your projects, tech stack, and career timeline to generate customized questions targeting your background.

Источник

Instead of just a numerical score, candidates receive concrete coaching on how to elevate their response (structure with STAR method, cite trade‑offs, metrics, edge cases).

Источник

MongoDB Session History: Stores previous sessions to track performance over time.

Источник