Craft Your Career Advisor: Python & PySimpleGUI

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In today's rapidly changing world, finding the right career path or educational course can be daunting.

Whether you're a student trying to decide on a major or a professional considering a career shift, having a reliable tool to guide your decisions can be incredibly valuable.

In this post, we'll walk you through creating a Career Guidance Advisor App using Python and PySimpleGUI.

This app will recommend career paths or courses based on the user's interests, skills, and goals, helping them make more informed decisions.

Step 1: Setting Up the Environment

Before diving into the code, ensure you have PySimpleGUI installed. You can install it via pip:

pip install PySimpleGUI

Step 2: Designing the User Interface (UI)

The first step in building the app is to create the user interface where users can input their interests, skills, and career goals.

import PySimpleGUI as sg

# Define the layout for the Career Guidance App

layout = [

    [sg.Text('Welcome to Career Guidance Advisor')],

    [sg.Text('Enter your Interests:'), sg.InputText(key='-INTERESTS-')],

    [sg.Text('Enter your Skills:'), sg.InputText(key='-SKILLS-')],

    [sg.Text('Enter your Career Goals:'), sg.InputText(key='-GOALS-')],

    [sg.Button('Get Career Advice'), sg.Button('Exit')]

]

# Create the window

window = sg.Window('Career Guidance Advisor', layout)

This layout includes text inputs for interests, skills, and goals, as well as buttons for getting career advice or exiting the app.

Step 3: Implementing the Logic for Career Recommendations

Next, we need to implement the logic that will provide career recommendations based on user input. For simplicity, we'll use a basic set of rules to match interests, skills, and goals with potential career paths or courses.

# Sample data for career paths and related courses

career_data = {

    'Software Development': {

        'skills': ['coding', 'problem-solving', 'algorithms'],

        'interests': ['technology', 'programming'],

        'courses': ['BSc Computer Science', 'MSc Software Engineering']

    },

    'Data Science': {

        'skills': ['statistics', 'data analysis', 'machine learning'],

        'interests': ['data', 'research'],

        'courses': ['BSc Data Science', 'MSc Artificial Intelligence']

    },

    'Graphic Design': {

        'skills': ['creativity', 'design', 'visual communication'],

        'interests': ['art', 'design'],

        'courses': ['BA Graphic Design', 'MA Creative Arts']

    }

}

def get_career_advice(interests, skills, goals):

    recommendations = []

    for career, details in career_data.items():

        if any(interest in details['interests'] for interest in interests) and \

           any(skill in details['skills'] for skill in skills):

            recommendations.append((career, details['courses']))

    return recommendations

Here, we define a dictionary career_data containing potential career paths, their required skills, related interests, and recommended courses.

The function get_career_advice checks the user's input against this data and returns a list of matching career paths along with suggested courses.

Step 4: Connecting the UI with the Logic

Finally, let's connect the user interface with the career recommendation logic and display the results to the user.

while True:

    event, values = window.read()

    if event in (sg.WINDOW_CLOSED, 'Exit'):

        break

    if event == 'Get Career Advice':

        interests = values['-INTERESTS-'].lower().split(', ')

        skills = values['-SKILLS-'].lower().split(', ')

        goals = values['-GOALS-']  # We can extend this to consider goals in future versions

        advice = get_career_advice(interests, skills, goals)

        if advice:

            result_text = "We recommend the following career paths:\n\n"

            for career, courses in advice:

                result_text += f"Career: {career}\nRecommended Courses: {', '.join(courses)}\n\n"

            sg.popup('Career Advice', result_text)

        else:

            sg.popup('No Matches Found', 'No career paths match your inputs. Please try again.')

window.close()

In this loop, the app reads user input and calls get_career_advice when the "Get Career Advice" button is clicked.

If matching careers are found, the app displays them in a popup. If no matches are found, the user is prompted to try again.

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Step 5: Running and Testing the App

Now that the code is complete, run the app and test it with different combinations of interests, skills, and goals.

See how the recommendations change based on the input and tweak the data or logic as needed to make the app more accurate or tailored to specific user groups.

Final Thoughts

With this simple yet powerful app, you've built a tool that can help users make informed career decisions.

Whether you're a student exploring potential paths or a professional looking to shift careers, this Career Guidance Advisor can be a valuable resource.

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Join this AI Business Growth & Strategy Masterclass and discover how to revolutionize your approach to business.
In just 4 hours, you’ll gain the tools, insights, and strategies to not just survive, but dominate your market.

What You’ll Experience: 
🌟 Discover AI techniques that give you a competitive edge
💡 Learn how to pivot your business model for unstoppable growth
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⏰ Free up your time and energy by automating the mundane, focusing on what you love

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Let’s Inspire Future AI Coders Together! ☕

I’m excited to continue sharing my passion for Python programming and AI with you all. If you’ve enjoyed the content and found it helpful, do consider supporting my work with a small gift. Just click the link below to make a difference – it’s quick, easy, and every bit helps and motivates me to keep creating awesome contents for you.

Thank you for being amazing!

What’s Next? 📅

In future posts, we'll explore how to enhance this app with features like saving user profiles, adding more detailed career data, and even incorporating AI for smarter recommendations.

Stay tuned for more exciting projects!

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