Web app - VRM24com - devices, repair, info
Link to the web project available to clients only.
Related Skills
AE animations AI text editing and proofreading AI text translations AI text/audio/image converting to AI-assisted content creation Backup and Recovery Bootstrap CSS3 ChatGPT Content optimization (SM) Content writing Django Editing and proofreading Git Graphic editing HTML5 Image optimization for web Nginx Performance monitoring Photo retouching Photography PostgreSQL SEO-friendly content Technical writing Translation User Interface Video editing Video filmingAbout the Project
Content creation for a full-stack web app focused on mobile device teardowns, technical reviews, repair information, and a community of repair specialists and enthusiasts
- Designed and developed a structured device knowledge base containing 1,200+ teardown guides, 1,100+ technical reviews, and 2,100+ expert Q&A answers, organized through a hierarchical content structure: Categories → Devices → Teardowns / Reviews
- Built a community-driven Questions & Answers platform with user submissions, voting, and expert replies
- Implemented an “Instructions of the Day” feature with dynamic daily selection, along with “Latest Activity” feeds
- Delivered a responsive, SEO-friendly interface with multilingual support, including a language switcher with a location-based prompt, cookie consent, and privacy-policy pages
- Integrated video tutorials from the site's YouTube channel, repair-case articles, high-resolution motherboard and component photography, and social sharing
- Optimized media delivery with WebP image conversion and thumbnail caching using sorl-thumbnail
Challenges
This project involves a large number of interconnected tasks. The first challenge is content itself, as well as communication with users. Supporting a multilingual platform requires working with several languages, creating multilingual content, and communicating with users in different languages.
Creating the technical content also requires practical knowledge of mobile devices and the ability to quickly take devices apart, document the repair process on camera, and photograph important components and details.
From the same source material, I may need to create a technical article, photographs, a short video, or edited video content. These tasks are closely connected: information collected during a teardown can become a photo set, an article, a video, an answer to a user question, and eventually part of the site's knowledge base.
Solution
The project required preparation and coordination with engineers before I could become directly involved in the technical content workflow. I developed a system for quickly preparing and translating content, producing and processing photographs and video, editing videos, and creating video effects and intros.
With the arrival of modern AI models, parts of the original workflow became outdated. At the same time, integrating AI tools significantly reduced the time required to prepare different types of content. I use AI models as tools within the content-production process rather than as a replacement for the actual work (slop) and expertise behind the content.
Learning Python also allowed me to develop my own tools for working with text, translations, images, and other parts of the workflow instead of relying entirely on existing software.