I developed a high-efficiency Python automation script designed to handle large-scale image manipulation. By leveraging the Python Imaging Library (PIL/Pillow), this tool automates the tedious task of manual photo editing, ensuring that entire datasets are uniform, optimized, and ready for web or print deployment in seconds.
The Solution
Manually editing hundreds of images is prone to error and incredibly time-consuming. This script provides a "set-and-forget" solution that maintains 100% formatting consistency across every file in a source directory.
Core Functionalities
Batch Processing: Automatically iterates through all files in a source folder, regardless of quantity.
Smart Orientation: Rotates images to meet specific orientation requirements programmatically.
What actually shipped across every client this month:
A lead qualification bot, an inbox triage system, a contract automation flow, and a hiring screen different clients, same principle: automate the repetitive part, keep a human on anything that needs judgment.
→ Happy to walk through any of these in more detail.
Seeing the lead qualification bot take the first pass on prospects really frees up the team for deeper conversations. The inbox triage does the same for support tickets, letting agents focus on the tricky cases.
Excited to showcase a project I developed specifically for sports court construction professionals.
This platform simplifies construction workflows by bringing project management, daily site tracking, documentation, and project showcasing together in one place.
✨ Key Features:
Project and task management
Daily logs with images, weather, and work details
Automated project report generation
Digital signatures and warranty documentation
Completed project showcases with likes and comments
Marketing materials and video resources
My goal: To simplify construction workflows through a centralized digital platform.