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MingEn82/IBC-Tool

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Introduction

This is the repository containing the full stack application for generating 5G coverage heatmaps within building. Currently, the application supports rendering RSSI and CQI heatmaps.

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Features

The application provides an UI for training models to predict RF signals within buildings, and also generating 3D coverage heatmaps using the trained models.

Datasets

The internal and external walktest datasets used in this project can be found here

Quickstart

Clone the repository locally and follow the steps below to set up the backend and frontend.

Backend

  1. cd backend
  2. Create a virtual environment with python >= 3.11
  3. Run pip install -r requirements.txt to install all dependencies
  4. Run python3 main.py to start the Flask server. By default, the Flask app runs on port 5000

Frontend

  1. cd frontend
  2. Run npm install to install the dependencies
  3. Run npm run dev to start the Vite server

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