Project Title

Description

This project is a log visualization dashboard that allows users to view, filter, and analyze log data in real-time. It aims to provide insights into log activity and trends, enhancing decision-making and troubleshooting processes.

Features

• Real-time Data Processing: Allows users to receive updates in real-time, addressing the need for timely information in applications such as chat systems or live dashboards.
• Data Visualization: Offers graphical representations of log data, making it easier for users to understand complex information and trends.
• API Integration: Connects with a backend service to fetch and send log data, enabling a comprehensive user experience.
• Responsive Design: Ensures that the application is accessible on various devices, solving the issue of usability across different screen sizes.

Technologies Used

This project is built using the following technologies:

• Backend: C++ with Crow framework
• Frontend: React
• Database: SQLite
• Other Tools:Git, Recharts (for data visualization)

Installation

Backend

1. Clone the repository:

   git clone https://github.com/sauravjaiswalsj/LogVisualizer.git
   cd LogVisualizer/backend

2. Build the backend: Make sure you have a C++ compiler installed (like g++) and Crow library set up. You can compile the backend using:

   g++ -o main src/main.cpp -I/path/to/crow/include -I/path/to/nlohmann/json/include

3. Run the backend:

   ./main

Frontend

1. Navigate to the frontend directory:

   cd ../log-visualization-frontend

2. Install dependencies: Make sure you have Node.js and npm installed. Then run:

   npm install

3. Build the frontend:

   npm run build

4. Run the frontend:

   npm start

Usage

• Access the frontend application at http://localhost:3000 (or the port specified in your React app).
• The backend API will be running at http://localhost:8080/api/logs.

Contributing

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes and commit them (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• [Any resources, libraries, or individuals you want to acknowledge]