AI Career Advisor App Development — 5-Day Camp 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