International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
Rezumix: An AI-Powered Career Assistant with Resume Enhancer, Personality Insights, Career Guidance & Mock Interviews Devansh Agrawal B. Tech CSE, 4th Year The ICFAI University, Raipur Email: agrawaldevansh27@gmail.com LinkedIn: https://www.linkedin.com/in/thedevanshagrawal ---------------------------------------------------------------------***--------------------------------------------------------------------- Compare features with existing tools Abstract - In today’s competitive job market, simply having a resume isn't enough — you also need to know how to present your strengths, identify your ideal career path, and confidently handle interviews. Rezumix is a modular, AI-powered platform that helps users across all these touchpoints. Built using Next.js (App Router), Tailwind CSS, MongoDB, and integrated with Gemini AI, it offers four independent tools: a Resume Analyzer and Enhancer, Personality Predictor, Career Recommendation and Mock Interview Simulator.
- Outline future potential and challenges. While this is not a traditional experimental study, we offer a proof-of-concept implementation, early user responses, and positioning within current market tools.
2. Tech Stack and System Overview Rezumix is built entirely using modern, developer-friendly tools:
Unlike traditional systems, Rezumix focuses on personalization using LLMs, delivering context-aware feedback, suggestions, and recommendations. This paper outlines the motivation behind Rezumix, the technical framework, its AI integration, and a small-scale user study conducted with 40 users. We also compare its features with existing tools like LinkedIn AI and VMock to highlight its uniqueness.
Frontend: Next.js (App Router), Tailwind CSS, Framer Motion Backend/API Routes: Next.js Server Actions AI Layer: Gemini API (Google's powerful LLM) Database: MongoDB
Key Words: AI Resume, Career Guidance, Mock Interview, Personality Prediction, LLMs, Gemini, Google, ChatGPT, OpenAI
Other Tools: HTML-to-text parsing, PDF processing, React Charts
1.INTRODUCTION
System Flow: Frontend (Next.js + Tailwind + Framer Motion)
Navigating career development today requires more than just technical skills. From building the right resume to choosing a career path and preparing for interviews, candidates face challenges that are often ignored by educational systems.
↕ AI Layer (Gemini API) ↕ Backend (API Routes, MongoDB)
Existing tools like LinkedIn’s AI resume assistant, VMock, and HireVue offer some support, but many are limited in customization, accessibility, or depth of feedback. This inspired the creation of Rezumix, an AI-powered platform that offers standalone tools focused on specific stages of career preparation.
Each feature has its own endpoint and logic — cleanly separated.
3. Features (Independent Modules) 3.1 Resume Analyzer & Enhancer
1.1 Objective & Research Framework
Users can upload their resume. The system parses the content, checks for weak points, and then uses Gemini AI to provide personalized suggestions based on industry standards.
This paper presents a technical implementation of Rezumix while aiming to: - Demonstrate the feasibility of integrating LLMs into career tools
Features: ATS check, formatting feedback, keyword enrichment
- Evaluate user feedback on four core modules
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