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)

GroceryTracker - Multimodal AI Receipt Scanner

Description GroceryTracker is an innovative web application that demonstrates the power of multimodal AI models for practical everyday use. This project leverages the cutting-edge Mixtral Pixtral 12B 2409 model to automatically extract and organize grocery receipt information, transforming a simple photo into structured, actionable data. Built as a React application and deployed on Hugging Face Spaces, GroceryTracker represents an exploration into the capabilities of modern multimodal AI systems for real-world document processing and data extraction tasks. ...

MCP Image Editor - Hugging Face Hackathon

Description Team project developed during the Hugging Face hackathon focused on Model Context Protocol (MCP). This collaborative image editor leverages MCP capabilities to provide intelligent image editing functionalities, combining traditional image processing with modern AI technologies. Development Team Collaborative team of three developers working together on all aspects of the project: Rafael Jaime Roberto Juan José (JayJay) Technologies Used Model Context Protocol (MCP) - Core protocol for component communication Hugging Face - AI models platform and tools Gradio - Interactive web interface for the application OpenCV-Python - Computer vision library for image processing LangChain - Framework for language model applications Pillow (PIL) - Python image processing library FastMCP - Fast implementation of MCP protocol OpenAI - Language models for intelligent features Hackathon Results Successful implementation of MCP protocol in image editing context Development of intuitive interface combining traditional tools with AI Effective demonstration of real-time collaboration Seamless integration between multiple AI and image processing technologies Learnings and Technologies Explored Deep dive into Model Context Protocol and its applications Integration of multiple image processing libraries Collaborative development under hackathon pressure Performance optimization for real-time processing Conversational interface design for technical tasks Links Demo on Hugging Face Spaces

SAS Certification Leaderboard

Description Comprehensive automation project that leverages Large Language Models (LLMs) to evaluate SAS certification exams. This initiative resulted in the creation of a competitive leaderboard and the fine-tuning of a Llama 3.3 70B model using DeepResearch technology from Claude, covering all topics included in the SAS certification exam. Technologies Used Large Language Models (LLMs) Llama 3.3 70B Claude DeepResearch Hugging Face SAS (Statistical Analysis System) Machine Learning Model Fine-tuning Automated Evaluation Systems Key Features Automated Exam Evaluation: LLM-powered system to assess SAS certification knowledge Competitive Leaderboard: Real-time ranking system for exam performance Fine-tuned Model: Custom Llama 3.3 70B model trained on comprehensive SAS topics DeepResearch Integration: Utilized Claude’s DeepResearch for thorough topic coverage Comprehensive Coverage: Includes all SAS certification exam topics Performance Metrics: Detailed analytics and scoring mechanisms Project Outcomes Successfully automated the SAS exam evaluation process Created a transparent leaderboard system for competitive assessment Developed a specialized fine-tuned model for SAS-related queries Comprehensive knowledge base covering all SAS certification topics Links Hugging Face Organization