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A community-driven, open-source project focused on enhancing public safety in Congo. Leverages real-time information to provide location-based alerts. Built to empower locals with timely, actionable insights.

License: Other

JavaScript 12.54% CSS 21.83% TypeScript 65.63%
hacktoberfest hacktoberfest-accepted hacktoberfest2023 congo-kinshasa dashboard nextjs nodejs python

congo-sentry's Introduction

Congo Sentry

Introduction

Welcome to Congo Sentry, a community-driven initiative aimed at enhancing public safety in Congo. This platform leverages real-time data to provide location-based alerts, empowering locals with timely, actionable insights.

Alt text for image

Table of Contents

Features

  • Real-time alerts: Receive immediate notifications about local events.
  • Location-based mapping: Interactive map pinpointing areas of interest.
  • User-friendly interface: Easy-to-navigate design.

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Prerequisites

# List the software and libraries needed

# Clone the repository
git clone [Your Repository Link]

# Navigate to the project folder
cd [Your Project Name]

# Install dependencies
npm install

Usage

Contribute

We welcome contributions from the community. See our CONTRIBUTING.md file for more details.

License

This project is open-source and available under the MIT License.

congo-sentry's People

Contributors

dirac156 avatar

Watchers

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congo-sentry's Issues

Task5: Set Up Node.js Server with typescript

Tags: backend, nodejs
Description:
Folder: /backend/api
Steps:

  • Initialize a new Node.js project in /backend/api.
  • Install necessary npm packages like express.
  • Set up a basic server using Express.

Dependencies: None

Task 10: Data Preprocessing and Cleaning (Python)

Tags: backend, data-cleaning, python
Description:
Folder: /backend/data_processing
Steps:

  • Create a Python script for data cleaning in ./backend/data_processing.
  • Use Pandas for data manipulation.
  • Preferably use jupyter notebook
  • Use the political violence dataset in the data folder
  • Save the cleaned dataset in a folder called backend/processed_data

Dependencies: Task 7

Initialize Multi-language Support

Tags: frontend, nextjs, i18n
Description:
Folder: /client
Steps:

  • Install next-i18next via npm.
  • Set up the next.config.js for i18n.
  • Add language JSON files in /public/locales.

Dependencies: None

Task 6: Implement API Endpoints

Tags: backend, API, nodejs
Description:
Folder: /backend/api/routes
Steps:

  • Create a routes folder in /backend/api.
  • Implement RESTful API endpoints using Express.

Dependencies: Task 5

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