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AI verification of a document photo

The service removes the background and verifies document photos according to country-specific requirements, simplifying document processes. The primary service interface is within Telegram. Payment is made using STARS. It is implemented for the LATAM, India, and Russia markets (the service's geography was chosen based on the optimal cost per click / conversion rate in paid search, and the prevalence of Telegram).

QSBOT.APP

Viacheslav UstinovIT Solutions Consultant | Full-Stack DEV

Landing

It is built on the Next.js framework and is multilingual. Significant attention has been paid to SEO, which is demonstrated by both the optimization of the main page and the generation of auxiliary pages for required document formats.

Backend

The application backend is built with FastAPI. High-precision image processing utilizes a MediaPipe-based pipeline with matting tools.

The processing pipeline includes:

Image size optimization to ensure efficient server resource usage.
Comprehensive validation against numerous parameters, from margins to sharpness.
Final compliance verification with the official requirements of target countries.

The bot is developed using aiogram. To maximize user path simplicity, we opted against using Mini-Apps, relying instead on Telegram's native tools for image uploading.

Collaborating with agencies, businesses, and in-house teams

If necessary, I can involve designers, data analysts, and senior-level developers in the project

Contact on Telegram

About me: portfolio, tech stack, working conditions, experience