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🚀 CareerVision.AI# CareerVision.ai 🚀

AI-Powered Gamified Career Development PlatformWelcome to CareerVision.ai, a web application designed to guide users in their career journey by predicting suitable job roles, providing personalized learning paths, and offering recent job and internship opportunities. 🎯

CareerVision.AI is a comprehensive career development platform that combines artificial intelligence, gamification, and personalized learning to help users accelerate their professional growth.

Next.js

TypeScripthttps://github.com/user-attachments/assets/26824c9b-b59d-407d-92de-30831e79d7d0

React

Python

Django

✨ Features

Features 🌟

🤖 AI-Powered Assessment

  • Adaptive Question Generation: Dynamic questions based on user profile and domain expertise- AI-Powered Job Role Prediction: Utilizes a Deep Learning-based Multi-Layer Perceptron (MLP) classifier to suggest job roles tailored to user inputs.

  • Real-time Analysis: Instant skill assessment with detailed breakdowns- Personalized Learning Paths: Recommends courses and resources to bridge skill gaps and enhance career prospects.

  • Personalized Feedback: AI-generated recommendations and career guidance- Real-Time Job Listings: Fetches the latest job and internship opportunities using the Adzuna API.

🎮 Gamified Learning Experience## Tech Stack 🛠️

  • Interactive Roadmaps: Step-by-step learning paths with visual milestones

  • Achievement System: Badges, points, and rewards for completed objectives- Backend: Django

  • Progress Tracking: Visual progress bars and completion statistics- Frontend: HTML, CSS, Tailwind CSS (via CDN)

  • Daily Challenges: Engaging tasks to maintain learning momentum- Machine Learning: Deep Learning with MLP Classifier

  • Job Listings: Adzuna API

📄 Resume Analysis

  • AI-Powered Analysis: Comprehensive resume evaluation using advanced NLP## Installation Guide 📝

  • Skill Gap Identification: Detailed analysis of current vs required skills

  • ATS Optimization: Applicant Tracking System compatibility scoringFollow these steps to set up the project locally:

  • Improvement Recommendations: Actionable suggestions for resume enhancement

  1. Clone the Repository:

📚 Personalized Learning Resources

  • AI-Curated Content: Learning resources tailored to individual skill gaps ```bash

  • Multi-Format Support: Videos, courses, tutorials, books, and certifications git clone https://github.com/Rahul4112002/CareerVision.ai.git

  • Provider Integration: Resources from top platforms like Coursera, Udemy, freeCodeCamp cd CareerVision.ai

  • Smart Filtering: Advanced search and filtering capabilities ```

🔥 Daily Engagement System2. Set Up Virtual Environment:

  • Motivation Hub: Daily quotes, tips, and challenges

  • Streak Tracking: Learning consistency monitoring and rewards ```bash

  • Smart Reminders: Personalized notifications for goals and milestones python -m venv env

  • Progress Insights: Trend analysis and achievement tracking source env/bin/activate # On Windows: env\Scripts\activate

🛠 Tech Stack

  1. Install Dependencies:

Frontend

  • Next.js 15 - React framework with App Router ```bash

  • TypeScript - Type-safe development pip install -r requirements.txt

  • Tailwind CSS - Utility-first styling ```

  • Framer Motion - Smooth animations and interactions

  • Lucide React - Modern icon library4. Apply Migrations:

Backend ```bash

  • Django 4.2 - Python web framework python manage.py migrate

  • Django REST Framework - API development ```

  • SQLite/PostgreSQL - Database options

  • Python 3.10+ - Core backend language5. Run the Development Server:

AI Integration ```bash

  • Google Gemini AI - Advanced language model for content generation python manage.py runserver

  • Natural Language Processing - Text analysis and understanding ```

  • Machine Learning - Personalization and recommendations

    Access the application at http://127.0.0.1:8000/.

🚀 Quick Start

File Structure 📂

Prerequisites

  • Node.js 18+ and npm/yarn```

  • Python 3.10+ and pipCareerVision.ai/

  • Git├── jobroleprediction/

│ ├── migrations/

Frontend Setup│ ├── init.py

│ ├── admin.py


# Clone the repository│   ├── models.py

git clone https://github.com/Dashrath-Patel/CareerVision.AI.git│   ├── tests.py

cd CareerVision.AI│   └── views.py

├── templates/

# Navigate to Next.js project├── static/

cd career-vision-next├── rbl_ann.ipynb

├── student_placement_data.csv

# Install dependencies└── manage.py

npm install```



# Create environment file## Usage Instructions 📚

cp .env.example .env.local

1. **Navigate to the Home Page**: Explore the intuitive user interface built with Tailwind CSS via CDN.

# Add your API keys2. **Input Your Details**: Provide necessary information to receive job role predictions.

GEMINI_API_KEY=your_gemini_api_key_here3. **Review Recommendations**: Explore suggested job roles, learning paths, and current job listings.

GEMINI_MODEL=gemini-1.5-flash

## Contributing 🤝

# Start development server

npm run devWe welcome contributions! Please fork the repository and create a pull request with your proposed changes.

Backend Setup## Acknowledgements 🙏


# Navigate to Django project- **Adzuna API**: Job data powered by [Adzuna](https://developer.adzuna.com/).

cd ..

## Contact 📩

# Create virtual environment

python -m venv venvFor questions or feedback, please open an issue in this repository.

source venv/bin/activate  # On Windows: venv\Scripts\activate


# Install dependencies
pip install -r requirements.txt

# Run migrations
python manage.py migrate

# Start Django server
python manage.py runserver

📊 Project Structure

CareerVision.AI/
├── career-vision-next/          # Next.js Frontend
│   ├── src/
│   │   ├── app/                 # App Router pages
│   │   ├── components/          # React components
│   │   ├── services/            # API services
│   │   └── lib/                 # Utilities
│   ├── public/                  # Static assets
│   └── package.json
├── jobroleprediction/           # Django Backend
├── prediction/                  # Django App
├── media/                       # Uploaded files
├── requirements.txt             # Python dependencies
├── manage.py                    # Django management
└── README.md

🎯 Key Components

AI Services (/src/services/gemini-ai.ts)

  • Question generation
  • Assessment analysis
  • Roadmap creation
  • Resume analysis
  • Daily engagement content

API Routes (/src/app/api/)

  • /generate-questions - Dynamic question creation
  • /analyze-assessment - Skill evaluation
  • /generate-gamified-roadmap - Personalized learning paths
  • /analyze-resume - Resume analysis
  • /recommend-resources - Learning resource curation
  • /daily-engagement - Motivation and tracking

🔧 Environment Variables

Create .env.local in the career-vision-next directory:

GEMINI_API_KEY=your_google_gemini_api_key
GEMINI_MODEL=gemini-1.5-flash
NEXT_PUBLIC_API_URL=http://localhost:8000

🤝 Contributing

We welcome contributions! Please follow these steps:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

📄 License

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

🙏 Acknowledgments

  • Google Gemini AI for powerful language model capabilities
  • Next.js Team for the excellent React framework
  • Vercel for seamless deployment platform
  • Open Source Community for amazing tools and libraries

Made with ❤️ by Dashrath Patel

⭐ Star this repository if you find it helpful!

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