Back
Tools for Humans

CareerIQ

Clarity in career confusion

A full-stack career exploration platform designed to help users think more clearly about their skills, interests, and possible paths — without overwhelming them.

CareerIQ platform interface
CareerIQ feature screenshot
CareerIQ feature screenshot
CareerIQ feature screenshot
CareerIQ feature screenshot
CareerIQ feature screenshot
1 / 6

Key Features

  • Psychometric personality assessment with 24-question model
  • Skill-based MCQ tests with backend persistence in MongoDB
  • Weighted ranking algorithm matching users to 100+ career roles
  • Interactive insights dashboard with data visualizations
  • Rule-based AI advisor chatbot for personalized guidance
  • Dynamic happiness index based on salary, stress, and work-life balance
  • Secure JWT-based authentication and user profile management

Technical Implementation

Independently designed and built the entire MERN stack application from scratch. Implemented modular React frontend with Vite, Node/Express backend with RESTful APIs, MongoDB schemas for user profiles and test results, and secure JWT authentication.

The project was fully deployed and tested in production using Vercel (frontend) and Render (backend), focusing on API stability, authentication flow debugging, and scalable architecture patterns.

Tech Stack

ReactNode.jsExpressMongoDBJWTREST APIsViteTailwindVercelRender

Year

2025

Status

Live
View Live Project