oll

OLL trainer - a timer-like tool to learn and practice OLL

Rubik's cube solver using CFOP

This project is built with **Ollama** and **TinyLlama** to create a lightweight Large Language Model (LLM) application. The backend, powered by Express.js, processes requests and communicates with the TinyLlama model, while the frontend, developed in React.js, provides a user-friendly interface for interaction.

An Enterprise AI Framework built with Python and LangGraph that uses local LLaMA 3.2 models to automate CSV data pipelines, deploy custom RAG knowledge bases, and intelligently route frustrated support tickets using strict schema validation.

DocuChat is a document chat application that allows you to have conversations with your documents, powered by a serverless vector database for scalable, efficient retrieval. Upload your files and ask questions in natural language to get answers based on their content.

Self-contained Go web client for Ollama with local login, optional OIDC/OAuth login, streaming responses, per-user conversations, and embedded static assets.

Réalisation d'un chatbot pour la mobilité à Montréal à travers un RAG

F1 telemetry analysis dashboard with FastAPI, React, and LLM-powered insights. Compare drivers, analyze braking performance, and visualize lap data.

Upload any PDF and chat with it — FastAPI + ChromaDB + Sentence Transformers + Ollama + Next.js

YouTube RAG Research Agent

Private RAG Assistant – A Chrome extension that brings intelligent Q&A to any webpage using (RAG). Combines Groq's fast LLM (llama-3.3-70b) with local Ollama embeddings for complete privacy. Features automatic page indexing, smart chunking, vector search, a modern dashboard. Manifest V3 compliant, zero dependencies, works instantly

OLL backup

Privacy-first email scam detector powered by a local Ollama AI model

From-scratch Python implementation of a RAG-based QA system, along with RAGAS evaluation

AI-powered Resume Analyzer built with FastAPI, Ollama and Docker.

Personal portfolio showcasing my projects, skills, and experience.

Orchestrate multi-agent AI workflows using open-source neural networks for internal support and structured data extraction in enterprise environments.