🤖 AI LinkedIn Post Generator
An intelligent content creation tool built with Python and FastAPI. This application leverages the Groq Cloud API (Llama 3) to transform user inputs into professional, engaging, and high-conversion LinkedIn posts. ✨ Key Features
AI-Powered Generation: Uses the high-speed llama3-8b-8192 model via Groq.
Customizable Personas: Tailors content based on roles like Student, Engineer, or Manager.
Tone Control: Choose between Professional, Conversational, or Friendly tones.
Smart Hooks: Automatically generates attention-grabbing opening lines.
FastAPI Backend: Built for speed and efficiency with asynchronous processing.
Clean UI: Simple, responsive frontend using Jinja2 templates and CSS.
🛠️ Tech Stack
Backend: Python, FastAPI
AI Engine: Groq SDK (Llama 3 Model)
Frontend: HTML5, CSS3, Jinja2 Templates
Environment: Python-dotenv (Security)
🚀 Getting Started
- Clone the Repository Bash
git clone https://github.com/Shiva-ux67/linkedin-post-ai-assistant.git cd linkedin-post-ai-assistant
- Set Up Environment Variables
Create a .env file in the root directory and add your API key: Plaintext
GROQ_API_KEY=your_actual_api_key_here
- Install Dependencies Bash
pip install -r requirements.txt
- Run the Application Bash
uvicorn main:app --reload
Open your browser and navigate to http://127.0.0.1:8000. 📂 Project Structure Plaintext
├── main.py # FastAPI application logic ├── .env # API keys (Ignored by Git) ├── .gitignore # Files to exclude from GitHub ├── requirements.txt # Project dependencies ├── static/ # CSS and static assets └── templates/ # HTML files (index.html)
🛡️ License
This project is open-source and available under the MIT License.