Platform for Managing Simulations

This project is a comprehensive simulation management platform designed to streamline the simulation process, automate critical tasks, and provide real-time monitoring and insights for complex research. The platform aims to optimize simulation workflows and improve the efficiency of researchers by centralizing simulation management and analysis tools.

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Features

• 🔍 Dynamic Tracking System: Search and filter simulations based on real-time status, allowing users to monitor active simulations and address issues instantly.
• ⚙️ Personalized Simulations: Create and manage custom simulations by adjusting parameters to meet specific research needs.
• 📊 Real-Time Monitoring: Gain real-time insights into simulation performance, enabling adjustments and resource allocation during runtime.
• 📈 Comprehensive Analysis: Analyze simulation results with in-depth tools to generate valuable insights.
• 🔗 External Interface Integration: Seamlessly integrates with external systems for running simulations and retrieving results, ensuring smooth interoperability.

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Problem Addressed

Simulation systems are widely used across various research fields to study and model real-world phenomena in controlled environments. However, the lack of comprehensive management systems creates inefficiencies, including:

• 🕒 Long experiment cycles due to manual simulation management.
• 📉 Difficulty in tracking real-time performance and adjusting simulations on the go.
• 🧩 Limited tools for in-depth analysis of simulation results.

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Solution

Our platform automates essential parts of the simulation process, accelerates test cycles, and provides tools for better decision-making in real time. With capabilities for custom simulation creation, progress tracking, and result analysis, the platform minimizes resource waste and fosters collaboration and innovation in fields like engineering, science, and finance.

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Technologies Used

• Backend:
  • 🐍 Python: Primary language for backend logic.
  • 🚀 FastAPI: Web framework for building the API.
  • 🗄️ MongoDB: NoSQL database to manage simulation and user data.
• Frontend:
  • 💻 TypeScript: For frontend development.
  • ⚛️ React: Framework for creating interactive UIs.
  • 🗃️ Redux: State management for consistent data flow.
• Integration:
  • 🔌 External Interface: Communicates with external systems to run simulations and retrieve results.
  • 🐳 Docker: Manages the MongoDB instance.

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Setup Instructions

Prerequisites

• Backend:
  • Python 3.x
  • MongoDB (Docker or local installation)
• Frontend:
  • npm (Node Package Manager)
• External Simulation Interface: The required external interface must be installed and configured separately for running simulations. (Contact for download link if needed.)

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Installation Steps

1. Clone the Repository:

   git clone https://github.com/your-username/Platform-For-Managing-Simulation.git

2. Backend Setup:

   • Navigate to the backend directory:

     cd backend

   • Install the required Python packages:

     pip install -r requirements.txt

   • Configure MongoDB in the .env file.
   • Ensure the external simulation interface is installed and integrated.

3. Frontend Setup:

   • Navigate to the frontend directory:

     cd frontend

   • Install frontend dependencies:

     npm install

4. Running the Project:

   • Backend: Start the FastAPI backend server:

     uvicorn main:app --reload

   • Frontend: Start the React frontend server:

     npm start

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How to Contribute

Feel free to fork this repository, submit pull requests, or open issues if you encounter any bugs or have suggestions for improvements.

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Contact

• Name: Eden Oved
• Email: [email protected]
• LinkedIn: https://www.linkedin.com/in/edenoved/