Summary

FAQs

• What kind of AI/ML problems do you solve?

  I focus on integration for business value, including Recommendation Engines (e.g., e-commerce), Predictive Analytics (e.g., fraud detection), Image/Text Classification, and intelligent process automation.

• Do I need to have my own data set for this project?

  Ideally, yes. For a custom, high-accuracy solution, a relevant, quality data set is essential. If you don't have one, I can advise on data collection strategies or using publicly available pre-trained models.

• What is the cost structure for AI integration?

  The cost is usually project-based due to the custom research and development involved. It covers the data preparation, model training, performance testing, and final API integration.

• Will the integrated feature scale with my user base?

  Yes, I design the deployment architecture with scalability in mind, using serverless functions or containerized services to handle increasing user traffic without performance bottlenecks.