An open source assistant that compares the analytic program of a passed course with the program of the course a student wants recognized, and drafts an equivalency report for the reviewing professor. Gemma 4, an open weights model running on the same computer through Ollama, extracts the topics of both programs, assesses every destination topic with evidence and explains each decision, while plain code computes the coverage and applies the 50 percent rule of the regulation. The professor can overrule any topic before signing, and no document ever leaves the machine. Submitted to the Hacktoberfest Open Source AI Challenge on DEV, where the full story of the project is told.
An agent that audits the digital presence of a site or portfolio and evaluates how recognizable that person or project is as a legitimate entity to search engines and AI systems. It analyzes structured data, identity consistency, authority signals, and technical accessibility, and delivers a score, an executive summary, and a prioritized action plan with copy-ready solution code, generated by Claude AI. Includes comparison between two sites, exportable history, shareable unique codes, and a conversational assistant with context of the analysis capable of analyzing attached files. Built together with Matías Edgardo Tula Sarquis, entirely with Kiro for the Código Facilito and Kiro powered by AWS hackathon.
Strategic intelligence platform for nonprofits and community organizations across Latin America. FaroIQ takes a plain-language description, runs it through a nine-agent AI reasoning pipeline, and produces in under ninety seconds a needs analysis, a phased implementation plan, impact projections, and a grant proposal ready to submit. Automatically executes across Microsoft 365: Calendar, To Do, OneDrive, and Outlook. Built on Azure AI Foundry, Microsoft Fabric, and Azure Logic Apps. Developed for the Microsoft Agents League Hackathon 2026.
VEREDAS is a bilingual career navigator built for aspiring AI engineers across Latin America. It analyzes your current skill set, identifies the gaps, and generates a personalized learning roadmap toward your target role, powered by real LatAm market data and Claude AI. Final project for Stanford Code in Place 2026.
Multimodal verification platform powered by artificial intelligence designed to combat misinformation and synthetic content through semantic analysis, RAG fact-checking, decentralized storage on IPFS, and immutable attestations on Solana. The system analyzes text, URLs, and audio through a deterministic pipeline with SHA-256 hashing, contextual reasoning with Claude AI, and cryptographically verifiable evidence.
University labor market analytics platform for Argentina, providing insights on formal employment, salaries, and opportunities by discipline, region, gender and institutional management. Features a dashboard with combinable filters, rankings, discipline comparison, and temporal evolution of indicators. Developed as a final practical project for Python at UTN.
