×

Real-time Pipeline and Dashboard with World Bank Indicators

      This project delivers an interactive, web-based dashboard designed to give IDB's Office of Evaluation and Oversight (OVE) a clear, at-a-glance view of how key economic and social indicators have evolved across IDB's Borrowing Members Countries since 2004. Rather than burying stakeholders in raw data tables, it presents trends for each country in a simple line chart, alongside a quick-reference table of the most recent numbers and a breakdown of indicator values by year. Everything updates on-the-fly directly from the World Bank's API, so you're always looking at the freshest available data without delay.

      I have focused on nine high-impact indicators, all expressed as shares of GDP or absolute amounts where relevant:
      • Agriculture, forestry, and fishing as a percentage of GDP.
      • Central government debt as a share of GDP.
      • Exports and imports of goods and services (as a percentage of GDP).
      • GDP per capita growth (annual percentage change).
      • GDP per capita in PPP terms, in current US dollars.
      • Inflation in consumer prices (annual percentage change).
      • Net official development assistance received, in current US dollars.
      • Government revenue excluding grants as a percentage of GDP.

      With just a few clicks you can switch between countries, choose any of these indicators to see its twenty-year arc, or dive into a tabular snapshot for any given year. The chart's smooth curves and subtle gridlines make it easy to spot inflection points—say, when debt spikes or when export shares rebound—while the live data table provides immediate context without scrolling through multiple screens. For OVE's evaluation teams, this tool streamlines the initial phase of any policy assessment or program review.

Check the GitHub repository with more technical information here:

TRY THE WEB APPLICATION HERE

×

Two LLM-Based Chatbots with IDB Knowledge

      This project leverages cutting-edge AI to turn the Inter-American Development Bank's lengthy country-program evaluation and other reports into two intuitive, chat-based assistants. By embedding PDF documents into vector databases, and powering queries with OpenAI based language models (gpt-4.1), users can simply type natural-language questions—like "What years did the Paraguay evaluation cover?"", or "Can you summarize the main Barbados development challenges covered in the report 'Barbados, a Time for Change'?"—and instantly receive clear, concise answers drawn directly from official IDB documents.

      The result of this exercise is two low-barrier interface chabots that puts critical evaluation insights at everyone's fingertips, without requiring hours of manual searching or familiarity with technical databases. One is called "AppEval", and uses the Extended Country Program Evaluation (XPCE) reports to asnwer question. The other is "FactBot Barbados" that uses several documents describing Barbados developmental context.

      Integrating tools lik AI-based "FactBot" or "AppEval", is particularly important for the IDB's OVE core functions because it transforms static evaluation reports into an interactive knowledge resource, streamlining how OVE and program teams access and interpret evidence: staff can bypass hours of PDF sifting to focus on findings and recommendations, accelerating internal reviews and collaborative discussions and ensuring insights more rapidly inform policy decisions and operational planning.

Check the GitHub repository with more technical information here:

TRY APPEVAL HERE

TRY FACTBOT BARBADOS HERE

×

Satellite Monitoring of Bridge Construction

      This dashboard brings the construction of a critical bridge in southern Chile to life through a simple, browser-based interface. By displaying two side-by-side satellite mosaics—one from the project's start date and another from the clearest day closest to today—stakeholders can instantly see how the site has evolved over time. A clear “percent complete” metric and a straightforward projection of the anticipated finish date make it easy for anyone, regardless of technical background, to understand both current progress and future outlook. Because it relies on freely available, cloud-hosted imagery and a lightweight trend calculation, users need no special software; the app runs continuously on a small virtual server, ensuring that the latest data and visuals are always just a click away.

      For the IDB's Office of Evaluation and Oversight, this kind of geospatial technology is a game-changer. It offers near real-time monitoring of infrastructure, environment or urban development projects (among many others) without the delays and costs of field visits or manual report gathering. By democratizing access to evidence and embedding visual, data-driven insights into the evaluation process, OVE teams can more rapidly validate progress, identify potential bottlenecks, and ensure accountability—all of which accelerate decision-making and strengthen the Bank's capacity to deliver impact across the region.

Check the GitHub repository with more technical information here:

TRY THE WEB APPLICATION HERE