AI Career Advisor App Using Python/Java,MySQL (12 Classes)

Personalized 1:1 package of 12 classes of 1 hr each 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.    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.    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.    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).   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.    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.