simplice114/Rwanda-Export-Intelligence-Platform

# Rwanda Export Intelligence Platform (REIP) A production-ready R Shiny application delivering AI-powered export intelligence for Rwanda. This repository contains the source for the deployed app. - Live demo: Rwanda Export Intelligence Platform - Demo credentials: `demo` / `demo123` ## Features - Secure authentication (login, account settings) - Export dashboards: trends, performance, heatmaps, product/market views - AI predictions: market demand scenarios and insights - GIS mapping: production clusters, transport corridors, resources - Made in Rwanda: supplier directory and marketplace - Monitoring: export alerts, market monitoring, price tracking - Policy & analysis: policy lab, impact analysis, regulatory updates - Reports & analytics: export reports, market reports, custom analytics ## Project Structure - `app.R` – Shiny app entrypoint - `admin_ui.R`, `auth_ui.R`, `dashboard_ui.R` – UI modules - `auth_server.R`, `dashboard_server.R`, `dashboard_server_with_db.R` – server logic - `ai_prediction_engine.R` – ML/analytics helpers - `database_helper.R` – database utilities - `www/` – static assets (CSS, JS, images, CSVs) - `rsconnect/` – deployment metadata for shinyapps.io ## Getting Started (Local) 1. Install R (>= 4.2) and RStudio. 2. Install required packages: ```r install.packages(c( "shiny", "shinydashboard", "shinyWidgets", "dplyr", "tidyr", "ggplot2", "plotly", "DT", "sf", "leaflet", "httr", "jsonlite", "lubridate", "stringr", "readr", "readxl" )) ``` 3. Open `Re-Desgn.Rproj` or the folder in RStudio. 4. Run `main.R`. ## Deployment - The app is configured for shinyapps.io. See `deploy_script.R` and `rsconnect/` content. - To deploy from RStudio: `rsconnect::deployApp()`. ## 📊 Data Sources The Rwanda Export Intelligence Platform integrates and analyzes **multi-source export data** to provide actionable insights. ### 🔹 Core Datasets - **NISR** – Formal External Trade in Goods Survey (2020–2025) - **BNR** – National Bank of Rwanda: Export values, tra …