Project 1: I have built an AI document processing app. It automates working with documents and AI. Features:

• Supports parallel processing of files and interactive chats on files
• Automatically load prompts from files and store output of AI in files
• Helper programs to merge all files in a folder and write AI-generated content to files
• Supports structured output modes
• Supports multiple AI models and providers (AWS, GCP, fireworks)

Project 2: Real-time weather email service. Built on n8n

• User provides email, city
• User data is validated and a weather API is used to get real-time weather of city
• Users gets an email with real-time weather of city

I’ve already built exactly what you’re looking for - Python tools that solve real problems.

Project 1

AI document processing app that automates working with documents and AI. Features parallel processing of files, interactive chat, automatic file handling (prompt loading from files, saving generated content in files), structured output modes and multiple AI providers. Built helper programs for file merging and file updates.

Project 2

Real-time weather email service on n8n. Users provide email and city, system validates data and calls weather APIs, then sends personalized weather emails automatically.

I focus on actually helpful projects with high impact rather than following standard tutorials without adding real value. These projects show that I can build useful tools, not just demos. My AI processing tool solves the tedious and time-consuming job of manually processing documents and prompts with AI. The weather service turns a simple form into valuable user experience.