🧠 LinkBrain AI | Career Intelligence Hub

Elevate your career with AI-powered insights. > 🚀 View Live Demo | 📁 Source Code

LinkBrain AI is an AI-powered suite designed to maximize your professional impact.

• 🤖 AI Coach: Context-aware guidance based on your data.
• 🔍 Audit: Deep LinkedIn profile & SWOT analysis.
• 🛤️ Growth: Actionable skill roadmaps & networking.

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🚀 Key Features

• 🔍 Profile Optimizer: Deep audit of LinkedIn profiles with a professional score, summary, and SWOT analysis (Strengths/Weaknesses).
• ✍️ AI Content Creator: Generates high-engagement LinkedIn posts based on specific topics, tones (Storytelling, Professional, Educational), and languages.
• 📊 Market Skill Advisor: Analyzes the gap between your current skills and a target job role to provide a 3-month learning roadmap.
• 🌐 Networking Advisor: Identifies and recommends industry leaders and influencers to follow for strategic career growth.
• 💬 Strategic AI Concierge: A context-aware chatbot that uses your specific profile data to provide real-time career coaching.
• 📦 Master Career Bundle: A unique feature that compiles all your analyses into a single, branded PDF report.
• **📈 Developer Performance Suite: (Internal) Real-time tracking of AI latency, status codes, and token usage via a dedicated dashboard.

📂 Project Structure

├── app.py                  # Main Application & User Interface
├── database.py             # SQLite Performance Logging Engine
├── dev_dashboard.py        # Analytics Dashboard for Developers
├── requirements.txt        # Project Dependencies
├── .env                    # Environment Variables (Secure)
│
├── brain/                  # AI Logic Core
│   ├── career_coach.py     # Personalized Mentor Logic
│   ├── post_generator.py   # Content Creation Engine
│   ├── profile_analyzer.py # SWOT & Audit Analysis
│   └── skills_advisor.py   # Roadmap & Gap Logic
│
└── utils/                  # Supporting Utilities
    ├── __init__.py       # Package-level exposure for cleaner imports
    └── pdf_exporter.py     # Document Generation Engine



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## 🛠️ Tech Stack

- **Frontend:** [Streamlit](https://streamlit.io/)
- **AI Engine:** Llama 3.3 70B (Reasoning) & Llama 3.1 8B (Content)
- **Backend Logic:** Python 3.x
- **Database: SQLite (Local Performance Logs)
- **Visualization: Pandas & Plotly
- **PDF Generation:** FPDF
- **Environment Management:** Python-Dotenv

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⚙️ Installation & Deployment

 1.Clone the project:
 git clone https://github.com/AbdelKaderAhmed/LinkBrain-AI.git
 cd LinkBrain-AI

2.Setup environment:
pip install -r requirements.txt

3.Configure API Key: Create a .env file and add your Groq API Key:
GROQ_API_KEY=your_gsk_key_here

4.Run the Dashboard:
streamlit run app.py


👨‍💻 Developer
Abdel Kader Ahmed Junior AI Engineer