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An AI-driven assistant that enables users to interact with PDF documents through natural language queries. Leveraging Retrieval-Augmented Generation (RAG), this application combines the capabilities of React for the frontend and FastAPI for the backend to provide accurate and context-aware responses based on the content of uploaded PDFs.
Asistente virtual inteligente con interacción de chat y base de datos Supabase. Desarrollado con React para el frontend y FastAPI para el backend, utilizando el modelo Llama-3.3-Turbo para el procesamiento de lenguaje natural.
AI-Powered Website Article Generator using LLaMA 3.1 (Groq API) Automatically scrapes and summarizes website content into well-written articles using advanced LLMs. Built with Flask, LangChain, and Groq for fast, production-ready text generation.
A full-stack web application that automates the extraction of job postings from career websites and generates personalized cold emails using AI agents. Built with React frontend and FastAPI backend powered by CrewAI and LangChain.
An interactive voice-based application using Local Language Models (LLMs) for querying product information. Developed with a React frontend and Flask backend, this project integrates with the Llama3 model but supports flexible model swapping. Originally for Garnier, it’s adaptable for any company's product inquiries.