【AI应用平台】一个AI应用与零代码结合体，旨在帮助开发者快速构建和部署AI 应用和零代码搭建！功能涵盖：AI应用、零代码搭建、AI报表、AI大屏、AI仪表盘、Chat2BI报表

Kai Fusion Build AI Agents & Workflows, Visually

Github热点AI自动分析

SmartFlow 基于SmartAdmin和Dromara Warm-Flow工作流开源项目，实现了流程设计、流程实例、流程审批、流程监控等功能。

A complete multi-tenant SaaS system for building and executing automated workflows with AI integration, similar to Zapier, Make, Kissflow, and Pipefy.

YouTube Video Summarizer

Receive an alert on Slack when one or more Airflow Task misses their SLA

Visual AI Agent Workflows — design, run & debug multi-agent systems with full transparency.

Debatify is a project that came from one of my friend's hobbies; debatify. Due to him having no one to debate with, I planned to create debatify, which is a unified experience for users to debate against AI bots in realtime locally for free!

This repository contains learning materials for the Data Engineer program at Alterra Academy

Control Markets Frontend Repo

Building a simple pipeline and automating through airflow.

Final project for OTUS "Data Engineer" specialization. Prototype system of automatic tests for CV neural networks. Examples for MNIST classificator

Brewery Data Pipeline - This project implements a data pipeline to fetch, transform, and persist brewery data from the Open Brewery DB API into a data lake, following the medallion architecture (bronze, silver, gold layers). The pipeline is orchestrated using Apache Airflow and runs within Docker containers, coordinated via Docker Compose.

ATSBooster enhances resumes by analyzing job descriptions and providing AI-driven suggestions to improve ATS compatibility and increase hiring chances. 🚀

Automated machine learning pipeline with Airflow and model experiments using MLflow

AI-powered workflows that combine deterministic code execution with flexible business reasoning and content generation.

A professional, Laravel-powered platform designed to automate Quality Assurance (QA) for web content using Gemini API. Specifically built to handle bilingual content analysis (English/Welsh) and complex audit rules with server-side background processing.

Reddit data pipeline with Lakehouse architecture. Collects posts & comments, processes them (Bronze -> Silver -> Gold), performs sentiment/trend analysis, and visualizes with Superset. Built with Kafka, Spark, Iceberg, Trino, Airflow, MinIO.

Customize Ghostty and Zsh appearances quickly with Boo, adjusting themes and transparency without editing config files manually.