1:1 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.