Effective job placement preparation is crucial in today’s dynamic job market. Aligning skills with job requirements, having a well-crafted resume, and excelling in interviews are essential. InterviewEase addresses this by automating the process through three AI-driven modules. The Resume Analysis and Recommendation module uses transformers’ summarization pipelines, KeyBERT, and the ChatGPT API to identify skill gaps between the resume and job requirements, offering targeted recommendations for improvement. The Video Interview Analysis module employs MediaPipe for gesture detection, a fine-tuned Wave2Vec model for speech emotion recognition, and cosine similarity for answer evaluation, providing detailed feedback on body language, speech, and responses. The Online Assessment Generation module uses transformers, KeyBERT, and Beam Search to create questions with varying difficulty levels. These modules provide precise skill gap analysis, 98% accuracy in gesture detection, 82% in emotion recognition, 92% in answer evaluation, and consistently generate high-quality assessments, enhancing the placement preparation process.

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InterviewEase: AI-Powered Placement Assistance

  • Param Kothari,
  • Paras Mehta,
  • Srushti Patil,
  • Varsha Hole

摘要

Effective job placement preparation is crucial in today’s dynamic job market. Aligning skills with job requirements, having a well-crafted resume, and excelling in interviews are essential. InterviewEase addresses this by automating the process through three AI-driven modules. The Resume Analysis and Recommendation module uses transformers’ summarization pipelines, KeyBERT, and the ChatGPT API to identify skill gaps between the resume and job requirements, offering targeted recommendations for improvement. The Video Interview Analysis module employs MediaPipe for gesture detection, a fine-tuned Wave2Vec model for speech emotion recognition, and cosine similarity for answer evaluation, providing detailed feedback on body language, speech, and responses. The Online Assessment Generation module uses transformers, KeyBERT, and Beam Search to create questions with varying difficulty levels. These modules provide precise skill gap analysis, 98% accuracy in gesture detection, 82% in emotion recognition, 92% in answer evaluation, and consistently generate high-quality assessments, enhancing the placement preparation process.