Virtual Interviewer is an AI-powered platform designed to assist job seekers in preparing for interviews. It integrates several advanced technologies, including ATS scoring, personalized interview questions generation, and voice input analysis. Built using Python, Streamlit, and various NLP models, this tool provides valuable feedback to optimize resumes and improve interview responses.
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ATS Compliance Scoring:
- Analyze resumes to check for relevant keywords and assess ATS compatibility.
- Provides actionable feedback and suggestions to improve your resume.
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Interview Question Generation:
- Generate tailored interview questions based on your resume using the Google Gemini API.
- Receive suggested answers for each question to help you prepare effectively.
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Voice Input Analysis:
- Practice virtual interviews with voice recognition.
- Analyze speech for sentiment and emotional tone using Hugging Face Transformers.
- Receive real-time feedback on your responses based on emotional positivity and keyword presence.
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Streamlit Interface:
- Easy-to-use web interface for uploading resumes, generating interview questions, and practicing voice responses.
- Python: Core programming language.
- Streamlit: For creating the interactive web app.
- SpaCy: For natural language processing and resume keyword extraction.
- Google Gemini API: For generating personalized interview questions.
- SpeechRecognition: For voice input analysis.
- Hugging Face Transformers: For sentiment and emotion analysis.
- Python 3.7+
- Install required libraries:
pip install spacy streamlit PyPDF2 google-generativeai transformers SpeechRecognition