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AI Career Advisor App Using Python/Java, MySQL (Ages 12-18) (Live Online)

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Overview

By the end of this 5-day camp, students will build a functional AI-powered Career Advisor application that provides personalized career recommendations based on user interests and skills.

Day 1 — Introduction and Setup

Theme: Understanding AI and Career Advisory Systems

Objective: Introduce project goals and set up the development environment.

Activities:

  • Introduction to AI and its role in career counseling
  • Setting up tools for development
  • Basic coding tasks
  • Java: Create a console-based login and registration menu
  • Python: Write a script to connect to MySQL and insert user data
  • Homework: Research popular career paths and skills required

Day 2 — User Profile Development

Theme: Data Collection and Storage

Objective: Allow users to create profiles and record interests and skills.

Activities:

  • Design the database structure
  • Build profile creation features
  • Java: Console-based user registration form
  • Python: Input and store interests and skills into MySQL
  • Interactive discussion session
  • Homework: Plan career clusters based on research

Day 3 — AI Recommendation Logic

Theme: Career Suggestion System

Objective: Use logic-based AI to recommend suitable careers.

Activities:

  • Build rule-based AI matching algorithms
  • Java: Conditional logic (if-else-based recommendation)
  • Python: Use dictionaries and lists for mapping
  • Simulate a basic AI model
  • Integrate SQL queries to fetch matching careers
  • Homework: Think of add-on features such as skill development paths

Day 4 — Advanced Features and User Experience

Theme: Improving App Functionality and Usability

Objective: Add enhancements and improve user interaction.

Activities:

  • Add user preferences and filters
  • Implement a simple skill-gap analysis
  • Add a favorite careers feature
  • Testing and feedback
  • Homework: Prepare presentation

Day 5 — Final Build and Presentation

Theme: Debugging, Optimization, and Showcase

Objective: Finalize the product and present it.

Activities:

  • Debugging challenge
  • Code optimization
  • Final showcase and demonstration
  • Core features
  • AI recommendation process
  • Challenges and solutions

Camp Benefits

  • Develop strong coding and database fundamentals
  • Understand how AI can solve real-world problems
  • Build and present a portfolio-ready project

Taught by

Young Gates

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