5G Network Optimization Project

🎥 Project Walkthrough

We have prepared a video walkthrough explaining the project development, approach, and key results.

👉 Watch the Project Walkthrough Video Here

This project aims to optimize 5G network parameters using machine learning models. It includes a frontend (React.js), backend (Flask), ML model training, and Kubernetes deployment setup.

📁 Project Structure

Here is the overall file structure of the project:

Getting Started

1. Clone the Repository git clone https://github.com/sapnamehar6264/2024GR31CS462.git cd 5G-Network-Optimization

🛠️ Installation

Backend (Flask API)

Navigate to project root

pip install -r requirements.txt

Run the Flask app

python app.py

Frontend (React App) cd client npm install npm start

🐳 Running with Docker

Build and run containers

docker-compose up --build

☁️ Kubernetes Deployment Make sure you have Kubernetes and kubectl configured. kubectl apply -f k8s/deployment.yaml kubectl apply -f k8s/service.yaml

📊 Machine Learning Model train_model.py contains the code to train the optimization model.

📦 Dependencies Frontend: React Backend: Flask, sklearn, numpy, pandas Containerization: Docker, Docker Compose Deployment: Kubernetes

✍️ Author Rajan Patel (202251093) Sapna Mehar (202252336) Tanishka Sharma (202251140) Pari Ranasaria (202251084)