AI Career Advisor App Using Python/Java,MySQL

AI Career Advisor App Using Python/Java,MySQL

AI Career Advisor App Using Python/Java,MySQL

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

Day 1: Introduction & Setting the Foundation  

Theme: Understanding AI and Career Advisory Systems  

•?  ?Objective: Familiarize students with the project goals and set up their development environment.  

•?  ?Activities: 

  1. Introduction to AI in Career Counseling: 

  2.Setting Up Development Tools:  

  3. Basic Coding Tasks:  

     – Java: Create a console-based menu for login and registration.  

     – Python: Build a simple script for connecting to MySQL and inserting user data.  

  4. Homework: Research popular career paths and required skills.  

Day 2: Building User Profiles  

Theme: Collecting and Storing Data  

•?  ?Objective: Enable users to create profiles and log their interests and skills.  

•?  ?Activities:  

  1. Database Design:  

  2. Profile Creation Feature:  

     – Java: Develop a user registration form (console-based).  

     – Python: Build a script to input and store skills and interests into MySQL.  

  3. Interactive Session:  

  4. Homework: Plan career clusters based on their research from Day 1.  

Day 3: AI Integration for Recommendations  

Theme: Generating Career Suggestions  

•?  ?Objective: Use AI logic to match user profiles with career recommendations.  

•?  Activities:

  1. AI Recommendation System Logic:

     – Write algorithms to match user inputs with predefined career paths.  

     – Use conditional statements (Java) or Python dictionaries.  

  2. Basic AI Model Simulation:  

     – Java: Hardcode a matching system based on user inputs (e.g., “If interests = science, suggest engineering”).  

     – Python: Implement a similar system using dictionaries and lists.  

  3. *SQL Query Integration:*  

     – Retrieve matching careers dynamically from the database.  

  4. Homework: Brainstorm additional features (e.g., skills to learn for suggested careers).  

Day 4: User-Friendly Interaction & Advanced Features

Theme: Enhancing Functionality  

•?  Objective: Make the app user-friendly with added features.  

•?  ?Activities:  

  1. Adding User Preferences:  

  2. Skill Gap Analysis:  

  3. Favorite Careers Feature:  

  4. *Testing:*  

  5. *Homework:* Prepare for project presentation.  

*Day 5: Finalization and Showcase*  

*Theme:* Debugging, Optimization, and Presentation  

•?  ?*Objective:* Complete the project and present it to peers and parents.  

•?  ?*Activities:*  

  1. *Debugging Challenge:*  

  2. *Code Optimization:*  

  3. *Project Showcase:*  

     – Students demonstrate their apps, highlighting:  

       – Features they built.  

       – How AI logic helped provide career recommendations.  

       – Challenges faced and how they overcame them.  

*Camp Benefits:*  

•?  ?Build foundational coding and database skills.  

•?  ?Explore AI-powered solutions for real-world problems.  

•?  ?Create a portfolio-worthy project.

AI Career Advisor App Using Python/Java,MySQL

  • 12 - 18 years
  • Beginner
  • 0
  • Class Schedule can be chosen
  • Flexible Duration
$299.00

Weeks

  • November 24 to November 28
  • December 22 to December 26
  • December 29 to January 2
  • January 5 to January 9

Time Slots

  • 11:00 am – 1:00 pm PST