🚀 AI-Powered Social Media Insights

Langflow + DataStax Astra DB | Level Supermind Hackathon

📌 Overview

This project analyzes social media engagement trends using Langflow and DataStax Astra DB, providing AI-powered insights to optimize content strategy. It helps content creators and brands make data-driven decisions by comparing the performance of Reels, Carousels, and Static Images.

🎥 Demo Video

Watch the demo video to see the project in action:

📌 How to Use This Project

1. Clone the Repository

git clone https://github.com/yourusername/ai-social-media-insights.git
cd ai-social-media-insights

2. Install Dependencies

pip install -r requirements.txt

3. Set Up DataStax Astra DB and Langflow

4. Run the Application

python app.py

⚡ Features

✅ Engagement Analysis – Tracks likes, shares, and comments across different post types.
✅ AI-Generated Insights – GPT provides data-driven recommendations for content strategy.
✅ Scalable Database – Uses DataStax Astra DB for fast and reliable data storage.
✅ Workflow Automation – Langflow processes and visualizes engagement trends effortlessly.

🛠 Tech Stack

🔹 Langflow – Workflow automation & AI integration
🔹 DataStax Astra DB – Scalable NoSQL database
🔹 Python (Flask) – Backend API development
🔹 HTML, CSS, JavaScript – Web interface for visualization
🔹 Gemini AI – AI-powered insights generation