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@article{176409,
        author = {Ashutosh Pradhan and Prashant Srivastava and Priyam Tripathi},
        title = {AI COACH},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5202-5206},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176409},
        abstract = {In today's competitive job market, effective interview preparation is essential for success. Many job seekers face challenges with communication, confidence, and technical responses, while traditional mock interviews lack real-time feedback and personalized coaching. To address these gaps, we developed AI Coach, an intelligent mock interview system leveraging React 19, Next.js 15, Tailwind CSS, NeonDB, Prisma, Clerk Authentication, Inngest, Gemini API, and Shadcn UI. AI Coach generates dynamic interview questions, evaluates responses in real-time, and provides actionable feedback. Additionally, it includes a resume builder for creating ATS-optimized resumes, cover letters, and industry insights to enhance job applications. This paper outlines the system's features, architecture, and benefits, demonstrating how AI Coach empowers job seekers to improve their interview skills and career prospects.},
        keywords = {AI Mock Interview, Resume Builder, Cover Letter, Industry Insights, AI Feedback, Real-Time Interview Coaching, Next.js, React, Prisma, NeonDB, Gemini API.},
        month = {April},
        }