https://github.com/shubhbansal44/social-media-insights-ai-agent
Advanced AI-driven system designed to analyze social media data and provide actionable insights.
https://github.com/shubhbansal44/social-media-insights-ai-agent
astradb groq langflow llms python rag streamlit
Last synced: 8 months ago
JSON representation
Advanced AI-driven system designed to analyze social media data and provide actionable insights.
- Host: GitHub
- URL: https://github.com/shubhbansal44/social-media-insights-ai-agent
- Owner: shubhbansal44
- License: mit
- Created: 2025-01-05T06:34:34.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-01-06T15:21:30.000Z (11 months ago)
- Last Synced: 2025-01-29T04:39:47.049Z (10 months ago)
- Topics: astradb, groq, langflow, llms, python, rag, streamlit
- Language: Python
- Homepage: https://social-media-insights-ai-agent-mgfkxmqecgvupeny2a32ix.streamlit.app
- Size: 89.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Social Media Insights Agent
## Project Flow
## Project Description
The **Social Media Insights Agent** is an advanced AI-driven system designed to analyze social media data and provide actionable insights. By leveraging cutting-edge technologies such as Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs), this agent enables users to extract detailed information, identify trends, and optimize content strategies based on real data.
## Key Features
### 1. **Data Retrieval and Analysis**
- Fetches post-specific details using unique `post_id`s from a provided dataset.
- Extracts critical metrics such as post type (e.g., text, photo, video, reel), likes, comments, and captions for precise analysis.
### 2. **Insight Generation**
- Calculates averages and engagement metrics to provide a clear picture of overall content performance.
- Identifies top-performing posts based on metrics like total engagement (likes + comments).
- Determines the most popular content formats and optimal posting strategies.
### 3. **Trend Identification**
- Analyzes engagement patterns, posting times, and content formats to highlight trends.
- Offers actionable recommendations to improve audience interaction and content reach.
### 4. **Custom Query Handling**
- Handles user-specific queries using Retrieval-Augmented Generation to fetch and analyze relevant data from the dataset.
- Provides detailed, structured, and concise responses tailored to user needs.
---
## How It Works
1. **Input**: Users provide a dataset containing social media post details and specific questions or post IDs.
2. **Processing**: The agent processes the input and retrieves relevant data using advanced retrieval tools.
3. **Output**: Insights and recommendations are generated based on the retrieved data, enabling users to optimize their social media content and engagement strategies.
---
## Use Cases
- **Content Creators**: Analyze engagement metrics to refine posting strategies and improve content quality.
- **Social Media Managers**: Gain data-driven insights into the performance of campaigns, top-performing posts, and audience preferences.
- **Marketers**: Identify trends and patterns to optimize campaigns and drive better results.
---
## Technologies Used
- **LangFlow**: For designing and managing the agent’s workflow.
- **Retrieval-Augmented Generation (RAG)**: To fetch relevant information from datasets based on user queries.
- **Large Language Models (LLMs)**: For natural language processing and generating insights.
---
## Streamlit Deployment
You can interact with the Social Media Insights Agent via the Streamlit app:
👉 [Social Media Insights AI Agent](https://social-media-insights-ai-agent-mgfkxmqecgvupeny2a32ix.streamlit.app/)
---