🚀 Kaggle Problem Solver: AI-powered ML challenge automation Plan, code, and execute Kaggle solutions with intelligent agents. Boost your data science workflow! 🧠📊

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

AUTOMATA02 – An intelligent workspace automation hub built with Python. It combines smart file sorting, UI workflow learning, and autonomous data reporting into one system. Powered by pandas, Streamlit, and AI/ML for intelligent classification, anomaly detection, and personalized dashboards.

🚀 Next-generation AI-powered project management ecosystem with 80+ proven templates, predictive analytics, blockchain automation, and intelligent workflows. Transform from static templates to data-driven insights with ML forecasting, smart contracts, and real-time collaboration. Open-source foundation with SaaS monetization.

Production-ready n8n workflow that fetches trending AI/ML/Data Science GitHub repos, categorizes them, and generates daily markdown digests with technical summaries. Leverages LLMs like Cohere for smart summarization, token-safe handling of credentials, and fully customizable automation visualized in n8n

This project aims to build a robust, end-to-end Machine Learning pipeline for predicting the quality of Drinks based on physicochemical tests. It demonstrates a complete ML workflow, emphasizing modularity, reproducibility, and automation.

Created an end-to-end ML pipeline from data cleaning to evaluation, showcasing automation and reproducibility in ML workflow.

ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code. Build production-ready ML workflows in minutes, not hours.

[100% Complete] 🎉 Production-ready Adobe CC automation suite. 5,750+ lines: PowerShell + Python. User provisioning, ML license optimization, PDF workflows, compliance auditing. Docker/K8s/Terraform ready.

A ML template that shows core MLOPs components: good project structure, tests, build/CI automation, CD to multiple environments, and actual approval workflows

🔥 36,985 n8n automation workflows — curated templates + AI-generated synthetic workflows, ML-ready with semantic labels. Includes archetype-based generation scripts.

Workflow and business process automation product using best practice ML techniques written in c#, sql and javascript (Ember.js).

10 hands-on labs covering Intelligent Automation — RPA, AI/NLP, ML pipelines, computer vision, BPM workflows, and a full end-to-end integration. Built with Python.

End-to-end logistics automation system built on Azure, combining event-driven workflows, IoT tracking, ML inference, and secure data pipelines for intelligent shipment lifecycle management.

End-to-end Machine Learning Operations (MLOps) workflows, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation. Built as part of my MLOps course to demonstrate real-world practices for managing production-grade ML systems.

Introductory workshop for ML workflow automation and governance

SmartFlow - Intelligent Workflow Automation & Analytics Platform with ML

AutoML MCP Server - Complete ML workflow automation with web interface

This repository showcases an end-to-end automated solution for financial data processing, analysis, and deployment. Built for Regal Finance Solutions, the project integrates Outlook email automation, Google Cloud Platform (GCP) workflows, Python scripting, Power BI dashboards, machine learning model deployment with Flask & Dockerized application.

Containerized FastAPI service for CSV processing, ML inference, and workflow automation with n8n.

💫 Victory Mwendwa’s interactive GitHub profile — showcasing projects, skills in Web Development, AI/ML, and workflow automation with n8n.

🚀 Personal portfolio website showcasing AI/ML projects, automation workflows, and full-stack development skills. Built with vanilla HTML, CSS & JavaScript.

Tech enthusiast exploring AI, automation, and full-stack development. Passionate about building real-world solutions with ML, n8n workflows, and intelligent systems.

OpenCircuitDesigner (a work in progress) is a simple Python framework for prototyping EDA (Electronic Design Automation) + ML (Machine Learning) workflows specific to OLED pixel circuit design.

A collection of my AI, automation, and agentic projects—building workflow bots, experimenting with ML APIs, and solving real-world problems with code. Showcasing my journey in intelligent systems, automation, and hands-on machine learning.

Intelligent AutoML system that treats ML pipelines as dynamic control systems. Goes beyond component automation to provide goal-oriented workflow orchestration with adaptive feedback mechanisms that systematically guide users when model performance is suboptimal.

This MLOps project showcases an end-to-end pipeline for vehicle insurance data, covering data processing, model training, deployment, and CI/CD automation. It highlights real-world ML workflows using modern tools and best practices, making it ideal for recruiters and developers exploring production-ready ML systems.

OpenRuntime is a comprehensive GPU computing and ML inference platform designed specifically for macOS systems with Apple Silicon. It combines high-performance GPU acceleration with advanced AI capabilities through OpenAI integration, LangChain workflows, and shell-gpt automation.

Intelligent Document Parsing (IDP) IDP is a Python-based tool that extracts structured data from unstructured documents using NLP and ML techniques. It supports multiple document formats and provides an API for seamless integration into automation workflows.

This repository contains my end-to-end MLOps learning path and hands-on projects. It includes data engineering, model training pipelines, experiment tracking, CI/CD automation, containerization, cloud deployment, and monitoring systems — designed to build production-ready ML workflows.