Problem

Fresh graduates face fragmented career information spread across job portals, skills platforms, and informal advice. While information is abundant, it is rarely actionable. Graduates struggle to understand which jobs they realistically qualify for, what skills they are missing, and what concrete steps they should take to improve employability.

Solution

CareerPath SG is a unified career execution platform that transforms fragmented career data into personalized, actionable roadmaps for employment. Instead of generic recommendations, the platform focuses on hire-ability, transparency, and execution—helping graduates move from uncertainty to clear next steps.

Significant Features

  1. Employability Readiness Score

CareerPath SG evaluates a user’s profile against real job requirements and presents an Employability Readiness Score. This score reflects how close a graduate is to being job-ready, based on skills, tools, experience, and market demand.

Why it matters: Most platforms ask what users want to be. We show what they can realistically get hired for—and why.

  1. Transparent Job Requirements & Rejection Insights

Each job listing clearly displays:

Required skills

Hard constraints

Missing skills based on the user’s profile

Common reasons candidates are rejected at that role

Why it matters: Graduates often apply blindly with no feedback. CareerPath SG surfaces rejection risks before applications are submitted, reducing wasted effort and improving matching quality.

  1. Personalized Upskilling Roadmap

For any selected role, the platform generates a week-by-week upskilling roadmap that converts skill gaps into concrete tasks. Each step includes:

Skill focus

Estimated effort

Suggested learning resources

Progress tracking

Why it matters: Career advice without execution leads to paralysis. Our roadmap answers one question clearly: “What should I do this week to get hired?”

  1. Application Tracking with Feedback Loops

A Kanban-style tracker allows users to manage applications across stages. When an application is marked as rejected, the system provides data-driven insights on likely reasons.

Why it matters: Rejection becomes feedback, closing the loop between effort and improvement.

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