Autopuzzle — an intelligent image recognition system for identifying car parts from photos

Status:
Completed
Duration:
3 months
Service:
Software development
Integrations:
Cloudflare, Railway, OpenAI Platform, SerpAPI
Project Objective
Develop an intelligent system that analyzes images of car parts with their specifications, automatically identifies each part, and provides structured results in an easy-to-use format
Client
Autopuzzle Car Service
Location:
Rivne, Ukraine
Project Goal
Streamline and speed up the identification of auto parts from uploaded images by reducing human dependency and enhancing the precision and efficiency of the process
Interactive Interface
AI-powered car part recognition
Seamless photo upload from any device
Technical parameter input
Cross-platform compatibility
Features
Intelligent recognition
The system automatically analyzes uploaded photos of car parts, identifies their type and part number, and determines compatibility with specific vehicle models
Cross-platform compatibility
The solution operates equally reliably across Web, iOS, Android, and Windows platforms without any additional configuration
Google authorization
Users can quickly and securely log in to the system using their Google account
Data protection
Uploaded photos are encrypted to ensure data privacy, while access to query history is controlled through role-based permissions and authentication tokens
Historical query storage
The system stores search results for further analysis, enabling statistics generation and trend detection in auto parts demand
Equipment
Every project is powered by the latest in technological innovation
Results
We developed an intelligent system that processes photos of car parts, automatically identifies the part number, type, and the corresponding vehicle make and model. The solution supports Web, iOS, Android, and Windows platforms, achieving a recognition accuracy of over 75% on a 100-sample test set
March 2025 – June 2025
Result BEFORE
Result AFTER
Результат ПІСЛЯ
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