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Solution AI

Inspiration

I wanted to build an application that helps industrial maintenance technicians diagnose equipment failures faster and more efficiently. My goal is to combine artificial intelligence with industrial diagnostics so that technicians can receive guidance directly from a mobile device.

What it does

Solution AI is a mobile application that helps users organize equipment information, upload images for diagnostics, manage reports and history, and prepare AI-assisted industrial maintenance workflows.

How I built it

I built Solution AI using Expo React Native, Figma, ChatGPT, Codex, GitHub, and a secure backend architecture prepared for OpenAI API integration.

Challenges I ran into

The biggest challenge was building my first mobile application while learning new technologies, solving navigation issues, organizing the project architecture, and preparing the application for future AI integration.

Accomplishments that I'm proud of

I successfully built my first AI-powered mobile application prototype, published it on GitHub, created a working demo, and prepared it for future OpenAI API integration.

What I learned

During this project I learned React Native, Expo, Git, GitHub, mobile application architecture, debugging, and how to build AI-ready applications using OpenAI tools.

What's next for Solution AI

The next step is integrating the OpenAI API for real image analysis, improving diagnostic accuracy, expanding industrial knowledge, and transforming Solution AI into a production-ready industrial maintenance platform.