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Most AI projects ask what AI does. I asked a different question. What problems do maintenance technicians face every day?
I work as a maintenance supervisor. I troubleshoot equipment more than I write code. When a machine fails, you need the right information fast.
I built Fix-It Fast AI. It is not another chatbot. It helps you identify equipment. It understands symptoms. It gives practical repair steps.
Real problems are messy.
- Labels are blurry.
- Users describe symptoms wrong.
- Model numbers are dirty. Software wants clean data. Real life is not clean.
I focused on image processing and OCR. I fixed error handling. I did not focus only on prompts.
Domain knowledge matters. AI does not know every detail of HVAC or electrical repair. The system needs high quality information. I built a repair knowledge base first.
The lesson is simple. Good software does not start with tech. It starts with the people. Understand their problems first. Build for real conditions.
Optional learning community: https://t.me/GyaanSetuAi