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Mobile
React NativeEXPOTypeScriptPostgreSQLTailwindClerkVercel
Developed2025-09-01
RoleFull stack developer
TypeTeam project
Overview

A gamified AI-powered career guide for high school students

Contributions

Integrated an AI-driven chat system and implemented interactive animations and Lottie-based micro-interactions to enhance engagement for younger users and personalize career exploration. Built full-stack features by connecting frontend chat and onboarding experiences to backend endpoints, handling user state and conversation flows, and ensuring reliable data handling for personalized recommendations.

Details

Product Walkthrough

A step-by-step look at how the product works through real interactions.

AI-Based Career Matching System

  • Designed and implemented a structured questionnaire to collect user interests and work preferences

  • Integrated decision logic to analyze responses and generate personalized career matches

  • Built reusable UI components to support branching question paths and dynamic recommendations

Guided Career Progression Path

  • Developed state-based progression logic to unlock stages based on user completion status

  • Structured career milestones including skills, certifications, and training requirements

  • Implemented gamified progression UI to improve engagement and clarity of advancement

  • Connected frontend progression states with backend career pathway data models

In-Demand Career Insights

  • Implemented dynamic job cards displaying roles, locations, and employment types

  • Structured career data to highlight market demand and opportunity availability

System Architecture

Frontend

  • React Native & Expo
  • Mobile-first Career Exploration UI
  • Onboarding, Chat & Progression Flows

API Layer

API preview
  • Career Matching Logic
  • AI Chat & Recommendation Flow
  • State-Based Progress Management

Database

  • PostgreSQL
  • User Progress & Pathway Data
  • Career Content Storage

Platform

  • Authentication & User State
  • Saved Career Paths
  • Personalized Recommendations
Flow
Frontend → API Layer → Database / Platform

Future Improvements

Advanced AI Personalization

Refine recommendation quality by adapting career suggestions to user interests, preferences, and prior interactions.

Persistent User Journey Tracking

Support long-term progress saving so users can return to their pathway, milestones, and career matches at any time.

Deeper Interactive Simulations

Expand the simulation experience with more scenario-based content tailored to different skilled trades and career paths.

Learning Path & Resource Suggestions

Provide follow-up recommendations such as certifications, training programs, and practical next steps for each career path.