Interviewer.ai| AI-Powered Interview Simulation & Hiring Intelligence Platform (Graduation Project)

• Built an intelligent interview preparation platform using Next.js (client) and Express.js (server) with a scalable full-stack architecture.

• Designed and implemented AI-powered mock interviews with adaptive questioning, follow-ups, and real-time conversational flow.

• Integrated Hume AI for audio emotion and speech analysis, and Anam AI for video interview evaluation to capture behavioral and communication signals.

• Developed performance analytics system tracking confidence, fluency, filler words, response structure, and emotional patterns over time.

• Built ATS resume parsing and optimization system that analyzes resumes against job descriptions, extracts key skills, and provides keyword gap analysis with AI-generated improvement suggestions.

• Created live coding interview environment using Monaco Editor with Judge0 and Piston for secure code execution and automated evaluation.

• Implemented authentication system using Better Auth in Express.js with secure session handling and role-based access control.

• Integrated Stripe for subscription management and billing workflows to enable monetization of premium AI interview features.

• Containerized the entire system using Docker and Docker Compose for consistent development, deployment, and service orchestration.

• Engineered robust backend APIs with Express.js and Prisma ORM over PostgreSQL, ensuring type-safe data access and scalable architecture.