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SkillSphere Career Guidance System

SkillSphere is an AI-powered web application that provides personalized career and college recommendations based on a student's academic profile, interests, and goals. Leveraging advanced AI models, SkillSphere helps students make informed decisions about their future education and career paths.


🚀 How SkillSphere Works

  1. Users enter their academic background, interests, and goals.
  2. The system analyzes the input using predefined logic.
  3. Personalized career and college recommendations are generated.

🚀 Features

  • Personalized Career Recommendations: Get tailored career suggestions based on your academic strengths, interests, and preferences.
  • College Matching: Receive a curated list of colleges/universities that align with your profile, location, and budget.
  • Actionable Roadmap: Obtain a step-by-step roadmap to achieve your career goals, including academic, extracurricular, and skill-building milestones.
  • Modern Web Interface: Simple, user-friendly interface for input and results.
  • Save Reports: Download your personalized recommendations and roadmap for future reference in txt file.

📸 Screenshots

The following screenshots showcase the current SkillSphere user interface.
Actual recommendations may vary based on user input.

🏠 Landing Page

Users can choose to create a new account or log in as an existing user to begin receiving personalized career guidance.

Landing Page


📝 User Profile Input Form

Users provide academic details, interests, hobbies, and preferences which are used to generate personalized career and college recommendations.

User Input Form


🎨 UI Layout Reference

This image represents the intended structure and layout of the SkillSphere input interface for clarity and consistency.

UI Reference


🗂️ Project Structure

SkillSphere/
├── app.py                  
├── core/
│   ├── __init__.py       
│   ├── models.py          
│   ├── recommendation_system.py  
│   ├── user_input.py      
│   └── utils.py          
├── static/
│   └── css/
│       └── style.css      
├── templates/
│   ├── index.html         
│   └── results.html      
├── requirements.txt   
|___screenshots    
└── README.md  
          

🛠️ Installation

  1. Clone the repository:

    git clone <repository-url>
    cd SkillSphere
  2. Install dependencies:

    pip install -r requirements.txt

💡 Usage

  1. Start the application:

    python app.py
  2. Open your browser: Go to http://127.0.0.1:5000

  3. Fill out your profile: Enter your academic details, interests and preferences, then submit the form to receive your personalized recommendations and roadmap.

  4. Save your results: Download your Recommendations and Roadmap for future planning.


🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request for suggestions, bug fixes, or improvements.


📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

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