AI-Based Career Guidance System using Python Machine Learning (ML)

An AI Based Career Guidance System developed utilizing Python and Machine Learning that analyzes student skills, interests, and aptitude to urge suitable profession paths. AI Based Career Guidance intelligent strategy helps students make informed profession decisions utilizing data-driven predictions and smart algorithms.

🛠️ Tech Stack Used

 Frontend / Web Interface:

• Django (Python Web Framework) – Used to create the web interface for personification input, displaying predictions, and managing data
• HTML5, CSS3, JavaScript – For rendering and styling web pages
• Bootstrap (optional) – For responsive UI components
• Django Templates – For move web page rendering

🧠 Machine Learning / Backend Logic:

• scikit-learn – Machine Learning room utilized to instrumentality algorithms for illustration Logistic Regression, Decision Tree, Random Forest, KNN
• NumPy→ For numerical operations and matrix manipulation
• Pandas → For handling and preprocessing datasets
• joblib → To prevention and load the trained instrumentality learning model

🗃️ Database:

• SQLite – Lightweight relational database utilized to shop personification information and predictions
• Django ORM (Object Relational Mapper) – Handles relationship betwixt Django models and the SQLite database

⚙️ Tools & Environment:

1. Python 3.x – Core programming connection used
2. PyCharm – IDE for development
3. Virtualenv / pip – For managing dependencies

✅ Key Features

• User Registration and Authentication
  Allows users to securely register, log in, and negociate their profiles.
• Online Career Aptitude Test
  Provides a system questionnaire to measure interests, skills, aptitude, personality, and activity preferences.
• Machine Learning-Based Career Prediction
  Uses a trained ML exemplary connected a CSV dataset to make meticulous and data-driven profession recommendations.
• Separate Result Display Page
  Displays profession recommendations connected a dedicated consequence page for amended clarity and personification experience.
• Career Result History Management
  Stores past trial results, allowing users to position and delete their profession history.
• Profile Management
  Enables users to update individual specifications and alteration passwords securely.
• User-Friendly Interface
  Provides a cleanable and interactive interface for easy navigation and amended usability.
• Secure Data Handling
  Ensures personification information and trial results are stored safely successful the database.

AI-Based Career Guidance System Project utilizing Python ML: Output Screenshot

User Signup

User login

User Dashboard

Career Aptitude Test Form

User Dashboard

How to tally the AI-Based Career Guidance System Project utilizing Python Machine Learning

1. Download the zip record of the AI-Powered Fake Currency Detection System successful Python

2. Extract the file, copy fake_currency_detection the files and paste it connected the desktop

3. Open PyCharm and import the task into PyCharm

4. Navigate to the files career_guidance

5. Install 4 libraries (if not installed)

6. Run the Project utilizing the pursuing command

python manage.py runserver

Now, click the URL http://127.0.0.1:8000 and the Project will run

Login Details

*************User************

Username:  john12

Password: Test@123

Or registry a caller user.

AI-Based Career Guidance System utilizing Python ML: Project Demo

AI-Based Career Guidance System utilizing Python ML: Project, Report and PPT