✍️ LinkedIn Content Generator

Generate professional LinkedIn content powered by Groq LLM, LangChain, and Few-Shot Prompting.

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🚀 Overview

LinkedIn Content Generator is an AI-powered application that generates engaging LinkedIn content by learning from existing posts using Few-Shot Prompting.

Simply choose a Topic, Language, and Content Length, and the application generates content that follows a similar writing style.

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✨ Features

• 🤖 AI-powered content generation using Groq LLM
• 🧠 Few-Shot Prompt Engineering
• 🌍 English & Hinglish support
• 📌 Topic-based content generation
• 📏 Multiple content lengths
• 📥 Download generated content
• 🎨 Clean Streamlit interface

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📸 Application Preview

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🏗️ Project Architecture

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🛠️ Tech Stack

Technology	Purpose
Python	Core Programming
Streamlit	Web Application
LangChain	Prompt Orchestration
Groq API	Large Language Model
Few-Shot Prompting	Writing Style Learning
JSON	Dataset Storage

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⚙️ Installation

Clone the repository

git clone https://github.com/<your-username>/linkedin-content-generator.git

Move into the project directory

cd linkedin-content-generator

Create a virtual environment

python -m venv myenv

Activate the environment

Windows

myenv\Scripts\activate

Install dependencies

pip install -r requirements.txt

Create a .env file

GROQ_API_KEY=YOUR_GROQ_API_KEY

Run the application

streamlit run main.py

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📂 Project Structure

linkedin-content-generator
│
├── assets/
├── data/
├── few_shot.py
├── llm_helper.py
├── main.py
├── post_generator.py
├── preprocess.py
├── requirements.txt
└── README.md

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🔮 Future Enhancements

• Copy to Clipboard
• Content Tone Selection
• Multi-LLM Support
• Content History
• One-click LinkedIn Publishing

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👨‍💻 Author

Ankur Dey

If you found this project useful, consider giving it a ⭐ on GitHub!