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Classic Checkers game built with Python and Pygame. Implemented full game logic including piece movement, capturing, king promotion, and automatic winner detection.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Currently designing and building a custom web app for a friend that works as an alternative to platforms like PhotoShelter and SmugMug.
It’s becoming easier for people to replace expensive monthly tools with products built specifically around their own workflow, features, and business needs.
Need something custom built for the way you work? Let’s talk.
A photographer-specific alternative to PhotoShelter makes a lot of sense, those platforms feel bloated if you only need galleries and client proofing. Are you building the storage/CDN piece yourself or wiring up something like S3 behind it?
Happy Monday!
A new week means new opportunities to grow your business.
This morning, I was reminded of a question a service-based business owner asked me recently.
"Why do people leave my website after just a few seconds?"
Here's what I told them:
People don't leave because they don't need your service.
They leave because they can't quickly understand what you do, why they should trust you, or what they should do next.
Your website has only a few seconds to make a great first impression.
If your message isn't clear, your pages are slow, or there's no obvious call-to-action, visitors won't wait around.
A website shouldn't make people think.
It should make it easy for them to take action.
The goal isn't just to get visitors.
The goal is to give them a reason to stay.
Have a productive week ahead!
Michael Adetayo · WordPress Website Designer · Lagos, Nigeria · Elementor
A realtor or a business in need of python and LLM AI document processing? Here are some recaps of my previous internship I did.
Just completed some advanced level python and LLM from extern for a mortgage company.
Check out some of the project I've worked on
Engineered AI-powered document processing pipelines for 200+ page mortgage files using OCR technologies including Tesseract OCR, PaddleOCR, and PyMuPDF, enabling scalable document extraction and parsing.
Developed a Retrieval-Augmented Generation (RAG) system using LlamaIndex for intelligent document search, classification, and contextual retrieval workflows.
Improved retrieval accuracy and system performance through embedding optimization, chunking strategies, vector search tuning, and intelligent routing logic.
Delivered technical documentation, demo UI, and evaluation reports validating OCR accuracy, retrieval precision, and system readiness for production deployment.
github.com
GitHub - Kyl67899/Outamation_Externship_internship
Contribute to Kyl67899/Outamation_Externship_internship development by creating an account on GitHub.
The OCR plus RAG pipeline for 200-page mortgage files sounds like a serious test of retrieval quality. Which document type caused the toughest extraction or chunking issue?
