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A social media analytics module built with Langflow and DataStax to analyze engagement metrics for post types. Leverages GPT to provide data-driven insights for optimizing social media strategies.

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🎯 Level-SuperMind Project

📊 A social media analytics module built with Langflow and DataStax to analyze engagement metrics for post types.
✨ Leverages LLM(GPT can be used, currently I am using LLAMA3.3 model) to provide data-driven insights for optimizing social media strategies.

🎥 Demo Video

Level SuperMind Hackathon Project Demo


🚀 How to Use?

Step 1: Install uv for Pip 🛠️

1️⃣ Install uv for fast Langflow installation using the instructions from the official UV documentation.
2️⃣ Run pip install uv to set up Python for uv.


Step 2: Create a Virtual Environment 🌐

1️⃣ Create a virtual environment:

uv venv .

2️⃣ Activate the virtual environment:

  • Windows 🪟:
    .venv\Scripts\activate
  • Mac/Linux 🐧:
    source .venv/bin/activate

Step 3: Install Langflow ⚙️

Install Langflow using uv pip:

uv pip install langflow

Step 4: Start Langflow 🚦

Run Langflow locally with the following command:

uv run langflow run

Step 5: Access Langflow 🌐

Open the local Langflow web app at:
http://127.0.0.1:7860


Step 6: Upload the Workflow 📂

1️⃣ Click on the "Upload a Flow" button.
2️⃣ Select the file "SuperMind Level Hackathon.json".
Group 47


Step 7: Run the Workflow 🚀

1️⃣ Open the uploaded file.
2️⃣ Click the 'Run' button on the rightmost card to execute the workflow.

🎉 Your project is now ready to use!
Group 47 (1)

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A social media analytics module built with Langflow and DataStax to analyze engagement metrics for post types. Leverages GPT to provide data-driven insights for optimizing social media strategies.

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