What You’ll Learn

• Extract and understand resume content automatically: Use PyPDF2 to parse resume PDFs and generate structured summaries to inform the interview.
• Analyze job descriptions with LLM reasoning: Build a job description expert agent that interprets role expectations, required skills, and hiring priorities.
• Generate intelligent, contextual interview questions: Use a powerful LLM to ask adaptive questions based on both the resume and prior answers.
• Convert interviewer prompts into speech: Implement text-to-speech with gTTS to create natural-sounding, interactive audio-based interviews.
• Capture and transcribe user responses: Use the Faster Whisper model for high-quality speech-to-text transcription of microphone input.
• Deliver real-time evaluation: Build a custom evaluation agent that summarizes performance, strengths, and areas for improvement.
• Develop a full Gradio app: Create a smooth, shareable interface that ties all components together—upload, listen, respond, and receive feedback.

Who Should Enroll

• AI enthusiasts and developers interested in combining language models, audio processing, and user-facing interfaces.
• Job seekers and career coaches who want to harness AI to create personalized interview training tools.
• Students and researchers looking to build multi-step AI systems that integrate text, speech, and interactive workflows.
• Educators who want a hands-on project demonstrating real-world applications of LLMs and voice interfaces.

Why Enroll

• A fully functional AI interview simulation tool.
• Practical experience integrating text, audio, and LLM workflows.
• A deeper understanding of how generative AI can transform professional skill-building.
• A portfolio-ready project demonstrating real-world relevance and engineering depth.

What You’ll Need

• Basic Python programming skills.
• Some familiarity with AI concepts (LLMs, speech processing, etc.)—helpful but optional.
• Curiosity about how generative AI can enhance professional training and personal development.