El Viejo Arancel - Agentic Chatbot

Description Intelligent Agentic chatbot developed with LangChain for the “El Viejo Arancel” web platform. The chatbot was implemented using Gradio to create an interactive user interface and exposed to the web through FastAPI. The bot is deployed on Hugging Face and is currently part of the website’s paid section, providing an innovative way to assess product tariffs for users through an API. Technologies Used LangChain Python Gradio (User Interface) FastAPI (Web API) Hugging Face (Deployment) AI/Machine Learning Chatbot Development Natural Language Processing (NLP) Key Features Advanced natural language processing Intelligent contextual responses Payment system integration Cloud deployment with Hugging Face Agentic architecture for autonomous decisions Links Deployed on: Hugging Face (El Viejo Arancel payment system)

Star Wars App: Django Backend & Swift Frontend

Description Academic project integrating a backend developed in Django (Python) for Star Wars data management and a frontend built in Swift for iOS/macOS applications. The backend handles logic and API, while the Swift frontend consumes the data and presents the user interface. Technologies Used year = ‘2024’ technologies = [‘Django (Python)’, ‘Swift (iOS/macOS)’, ‘Xcode’, ‘Django REST framework’] Django (Python) Swift (iOS/macOS) HTML Xcode Links Backend: https://github.com/RafaelJaime/PIDjango Frontend: https://github.com/RafaelJaime/PISwift Figma: https://www.figma.com/proto/65WhSOM0muclgbi0OtOD8d/Primer-Prototipo-pi?node-id=64-826&t=5I0QoqslLqC1nPTy-1

Teloreparo (Django Backend)

Description Django backend for the Teloreparo application. Modular structure with apps like account, api, cars, notices, reparations, templates, and static files. Technologies Used Django (Python) HTML, CSS, JS for templates Links Source code: https://github.com/RafaelJaime/Teloreparo_Django_backend

Python Async Exercise

Description Practice project focused on asynchronous programming in Python, including client and server examples. Technologies Used Python 3 Async IO / Sockets Links Source code: https://github.com/RafaelJaime/Python_async_exercise