International Scientific Journal of Engineering and Management

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Career AI: Career Guidance using AI Chatbot and Resume Builder

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Published 29 March 2026
Updated 29 March 2026

Career AI: Career Guidance using AI Chatbot and Resume Builder

 

 

 

Full-Stack Web Application with Integrated LLM-based Career Counselling, Resume Analysis, CareerRoadmap Generation, and Interview Preparation

P. Deepika¹, M. Mohan, N. Koushik¹, M. Harshini¹
Under the Supervision of P. Vani Manikyam, Assistant Professor
¹ Department of Computer Science and Engineering (AI & ML), Visakha Institute of Engineering and
Technology, Narava, Visakhapatnam, Andhra Pradesh – 530027, India. Affiliated to JNTU Gurajada
Vizianagaram.
Correspondence: deepika.p@viet.edu.in

 

 

 

ABSTRACT:Career AI is a full-stack AI-powered web application developed as a B.Tech final-year capstone project, designed to serve as an integrated intelligent career guidance and professional development platform. The application addresses the growing challenge faced by students and early-career professionals in navigating career decisions, crafting effective resumes, and preparing for competitive job interviews. The system integrates four AI-powered core modules: an AI Career Chatbot providing real-time streaming career counseling, a Smart Resume Builder with ATS optimization and PDF export across four professional templates, a Career Roadmap Generator producing phased step by-step career progression plans, and an Interview Preparation Tool generating role-specific question banks with STAR-method model answers. The frontend is developed with React 18 and Framer Motion; the backend with Node.js and Express.js; and AI inference ispowered by the Groq API utilizing the Llama 3.3 70B large language model. The system covers over 15 industry domains, achieves achatbot response quality of 4.3/5, delivers resume analysis with actionable feedback in 85% of test cases, and sustains a time-to-firsttoken (TTFT) under 500 ms in 95% of requests. The project demonstrates the effective integration of modern LLM APIs, RESTfularchitecture design, and responsive full-stack engineering to address real-world career development challenges at scale.Keywords: Artificial Intelligence, Career Guidance, Large Language Models, Resume Builder, Groq API, Llama 3.3 70B, React.js,Node.js, Express.js, REST API, ATS Optimization, Interview Preparation, Career Roadmap, Full-Stack Web Application, NLP.

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