🚀 ELEVATE - AI Career Path Recommender

ELEVATE is an AI-powered career guidance system that recommends personalized career paths, required skills, and learning roadmaps based on your interests and goals.

✨ Features

• AI-Powered Recommendations: BERT-based semantic matching for accurate career suggestions
• Personalized Roadmaps: Custom 6-12 month learning paths for each career
• Skill Gap Analysis: Identifies key skills needed for your target roles
• Resource Curation: Recommends top courses, books, and communities
• Responsive Design: Optimized for desktop and mobile

🛠️ Tech Stack

Component	Technology
Frontend	Streamlit
AI Models	BERT, Sentence Transformers
Backend	Python 3.10+
Deployment	Streamlit Community Cloud
Data Processing	Pandas, NumPy

📂 Project Structure

ELEVATE/
├── app/                      # Main application directory
│   ├── __init__.py           # Python package marker
│   ├── main.py               # Streamlit application entry point
│   ├── models/               # AI recommendation models
│   │   ├── __init__.py       # Package initialization
│   │   ├── bert_recommender.py  # BERT-based career recommendation engine
│   │   └── roadmap_generator.py # Learning path generator
│   ├── data/                 # Career datasets and knowledge base
│   │   ├── __init__.py
│   │   ├── careers.csv       # Career profiles and skills data
│   │   └── roadmaps.json     # Learning roadmaps for each career
│   ├── static/               # Static assets
│   │   ├── css/
│   │   │   └── style.css     # Custom styles
│   │   └── images/           # App images/logos
│   └── utils/                # Utility functions
│       ├── __init__.py
│       ├── config.py         # Application configuration
│       └── helpers.py        # Helper functions
├── .gitignore               # Specifies untracked files
├── requirements.txt         # Python dependencies
└── README.md                # Project documentation

💻 Local Development

Prerequisites

• Python 3.10+
• Git
• pip

Setup Instructions

1. Clone the repository:

   git clone https://github.com/devznsh/ELEVATE.git
   cd ELEVATE

2. Create and activate virtual environment

 python -m venv venv
# On Windows:
.\venv\Scripts\activate
# On Mac/Linux:
source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run the application:

   streamlit run app/main.py
   

📊 Data Model The system uses:

50+ career profiles with skill requirements

100+ learning resources

Dynamic roadmap generation based on:

Fundamentals → Specialization → Real-world projects

🎯 Roadmap Initial Release

Add more career paths

Integrate job market data

User account system

Skill assessment quizzes