The Social Metrics Application is a web-based tool designed to help users track and visualize key performance indicators (KPIs) from various social media platforms. It provides valuable insights into user engagement, growth trends, and other relevant metrics to help businesses and individuals analyze their social media strategies and performance.
- Track multiple social media platforms (e.g., Facebook, Twitter, Instagram, etc.).
- Visualize key metrics like followers, engagement rates, and more through interactive charts.
- Display real-time analytics using animated charts and graphs.
- Customize the dashboard to show relevant metrics.
- View historical data and trends over a specified period.
- User-friendly interface for easy data interaction and analysis.
- AI-powered chatbot integration for interactive user experience and data analysis using LangFlow.
Follow these steps to install and set up the Social Metrics Application on your local machine.
Before you begin, ensure that you have the following installed:
- Node.js (v16.x or higher)
- npm (Node Package Manager)
- Clone the repository:
First, clone the repository to your local machine using the following command:git clone https://github.com/sksingh2005/social-metrics-app.git - Navigate to the project folder:
cd social-metrics-app - Install dependencies:
Run the following command to install the required dependencies:npm install - Start the application:
After the installation is complete, you can start the application using:npm start - Access the application:
Open your browser and navigate to:The application should now be running locally on your machine.http://localhost:3000
Once the application is running, you can:
- View your social media metrics: The dashboard provides a series of graphs and charts that represent key metrics such as engagement rate, follower growth, and other KPIs for the selected social media platforms.
- Choose social media platforms: You can select which platforms to track. The application integrates with popular social media APIs to fetch data like followers, likes, comments, and engagement.
- Interactive charts:
- Animated Line Charts: View animated charts that track the growth and performance of your social media accounts over time.
- Bar and Pie Charts: Display detailed comparisons of different social media metrics, allowing users to make data-driven decisions.
- Hover and Click Interaction: Users can hover over data points to get detailed information about each metric.
- Customization:
- Select Time Period: Choose from different date ranges (e.g., daily, weekly, monthly) to analyze trends over time.
- Filter by Social Media Metrics: Customize the dashboard to display the most important metrics for your specific needs.
- Data Export: Users can export the displayed data and charts into formats like CSV and PNG for reporting purposes.
- Chatbot AI: Interact with the built-in chatbot powered by LangFlow to get insights into your social media metrics. The chatbot can help you query specific data points, provide analysis, and answer user questions about your social media performance.
The Social Metrics Application allows users to connect their social media accounts (Facebook, Instagram, Twitter, LinkedIn, etc.) to the app. It fetches relevant metrics such as:
- Number of followers/subscribers
- Engagement rate (likes, shares, comments)
- Reach and impressions
- Follower growth over time
The application provides real-time updates on your social media metrics. As the data updates, the animated charts will adjust accordingly, offering live insights into performance changes.
Users can view trends over a defined period (e.g., 30 days, 90 days) to evaluate whether their social media strategies are effective and understand seasonal fluctuations.
The application allows users to customize the dashboard by:
- Choosing the metrics that matter most.
- Changing the layout of graphs.
- Filtering data by different social media platforms.
The app supports exporting data for offline analysis, in CSV or image format, for sharing reports or saving data.
The application integrates an AI chatbot powered by LangFlow. LangFlow is a powerful framework for building and managing AI models that can handle user queries in natural language. The chatbot in this application is designed to assist users with querying their social media data:
- Natural Language Queries: Ask the chatbot about specific social media metrics or trends. For example, you can ask, "What was my engagement rate this week?" and the chatbot will fetch the data for you.
- Data Analysis: The chatbot can perform basic analysis, like summarizing growth trends or comparing metrics over different periods.
- AI-Powered Insights: Based on your social media performance, the chatbot can suggest improvements or strategies for increasing engagement.
The Social Metrics Application is built using modern web development technologies:
- React.js (for building dynamic, interactive UIs)
- Tailwind CSS (for utility-first CSS styling)
- D3.js / Chart.js (for chart rendering)
- Redux (for state management)
- React Router (for handling app navigation)
- Node.js (for handling backend operations)
- Express.js (for building REST APIs)
- Astra DB (for scalable database management and high availability)
- LangFlow (for AI chatbot integration, enabling natural language interaction with users)
- Deployed on Vercel (for frontend)
- Deployed on Heroku (for backend)
- Continuous integration and deployment with GitHub Actions
We welcome contributions from the open-source community! To contribute, follow these steps:
- Fork the repository to your own GitHub account.
- Clone the forked repository to your local machine:
git clone https://github.com/sksingh2005/social-metrics-app.git - Create a new branch for your feature or bug fix:
git checkout -b feature-name - Make your changes and commit them:
git commit -m "Description of changes" - Push your changes to your forked repository:
git push origin feature-name - Open a pull request to the main repository.
We encourage all contributors to follow the project's coding standards and add tests for new features.
- React.js – for creating the interactive user interface.
- Tailwind CSS – for simplifying styling.
- Chart.js / D3.js – for creating beautiful and responsive charts.
- Node.js & Express.js – for building the backend server and API routes.
- OAuth – for secure authentication with social media platforms.
- LangFlow – for enabling powerful AI-driven chatbot interactions and natural language processing in the application.