Log Analyzer

Log Analyzer is a comprehensive full-stack project designed for efficient log file analysis, prediction, and visualization. The system comprises a Node.js-based backend and a React.js-based frontend. This README provides instructions on setting up and running both the backend and frontend components.

Backend Setup

Prerequisites

• Node.js installed
• MongoDB installed and running

Installation

1. Navigate to the backend directory: cd backend
2. Install dependencies: npm install
3. Set up environment variables:
   • Create a .env file based on the provided .env.example.
   • Configure the necessary variables such as MONGO_URI for the MongoDB connection.
4. Start the server: npm start

The backend should now be running at http://localhost:5000.

Frontend Setup

Prerequisites

• Node.js installed

Installation

1. Navigate to the frontend directory: cd frontend
2. Install dependencies: npm install
3. Start the frontend application: npm start

The frontend should open in your default browser at http://localhost:3000.

Usage

1. Access the frontend dashboard at http://localhost:3000.
2. Sign in using the provided login system to access the log file analysis functionalities.
3. Insert log files into the system for analysis.
4. Explore the dashboard to visualize AI-powered predictions and insights derived from the log data.

Contributors

• Faisal Omari