Contact person: Business Client

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Location: Hyderabad, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m putting together a web application that turns the entire interview-practice flow into one seamless experience. First, a visitor picks a technology or domain and chooses the difficulty level. They then authenticate through social media—Facebook, Google or LinkedIn—so a robust, secure social-login flow is essential.

Once signed in, the user can upload either a résumé or a job description in PDF or Word format. Your backend should parse the document, identify key skills and context, and instantly generate a tailored set of interview questions. The next step is an AI-powered mock interview, ideally with real-time voice (and, if practical, video) so the system can follow up naturally.

After the session finishes, I want a multimodal analysis engine—text, audio and video—to rate performance, uncover sentiment cues, and surface constructive feedback on a dashboard that’s clear and actionable.

Deliverables
• Fully tested social-login module for Facebook, Google and LinkedIn
• Upload component that accepts PDF and Word files and feeds the question generator
• LLM-driven question-generation microservice with difficulty control
• Interactive mock-interview interface with voice (and optional video) capture
• Analytics layer that produces a post-interview feedback dashboard in under five seconds
• Clean, well-documented codebase plus deployment scripts and a brief hand-over walkthrough

Acceptance criteria: social logins succeed for all three providers, résumé parsing hits at least 90 % accuracy on a standard test set, and the feedback dashboard refreshes promptly after each interview.

Feel free to suggest the stack you believe fits best—React, [login to view URL], Node, Python, LangChain, OpenAI, Whisper, MediaPipe, or anything comparable—as long as it meets the goals above. Looking forward to your approach, timeline, and examples of related AI or interview work." (client-provided description)