Bryne Carruthers

Portfolio

Welcome to my online portfolio! Here are examples of my most recent work. More coming soon! I'm taking on freelance work at the moment. Want some help building your website?

  • All
  • Content Management System
  • E-Commerce
  • Image Repository
  • Data Science
  • AI
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Jim Hands Auction

A custom content management system web application for the family run business Jim Hands Auction, Established in 1938. Responsive/Mobile-Friendly, SEO, with A+ security rating on Mozilla Observatory.

Client: Jim & Judy Hands

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Vajrayana AI Chat

Vajrayana AI Chat lets the user converse with virtual Tibetan Buddhist teachers and tulkus! Lets the user create their own Experts to converse with; add Documents to create a knowledgebase by uploading Documents (text files, PDFs, web pages, & transcripts automatically generated from Youtube video urls); and view their previous Conversations. Created using the OpenAI Chat Completions API

Client: Mary Ferguson

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Therapeutic Healing Arts Website

Therapeutic Healing Arts Website - Custom content management system for an acupuncture and traditional Chinese medicine service business (made with Python/Django).

Client: Valerie Dyer, Registered Acupuncturist

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Pasture Valley Marketplace

Pasture Valley Marketplace is an easy to use content management system and e-commerce web app that helps connect local producers to their customers. Dynamically generates content without knowing any HTML or CSS. Easily generates reports on revenue and inventory.

Client: Blairich Farms

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Digi Louvre

Digi Louvre is an easy-to-use web-based digital image content management system that allows artists and photographers to display their images and sell image prints online with PayPal or credit card (via Stripe).

Client: Mary Ferguson

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Spacetagram

Spacetagram is an Instagram-style single page web app that searches and displays images from NASA's Astronomy Picture of the Day API. Made with Svelte JS (ES6 Javascript) and Django (Python).

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Machine Learning Tool

This web app lets you train and test various supervised machine learning algorithms and visualize the accuracy (and r2 score) of their results. It allows you to adjust parameters that control the complexity of the algorithm model and save these results for future comparison. It also lets you upload and save your own custom datasets in CSV or Excel formats.