Contact person: Business Client

Phone:Show

Email:Show

Location: Ahmedabad, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m upgrading a Flutter app with an Automatic License Plate Recognition mode and need an experienced developer to put the core in place. The goal is a basic yet reliable proof-of-concept that:

• Opens the device camera and recognises plates in real time
• Runs smoothly on both iOS and Android (stable Flutter channel)
• Reads international licence plates with acceptable speed and accuracy
• Exposes the recognised plate text and confidence through a clean callback or stream

Gallery image processing isn’t required—live detection is the sole focus.

Feel free to choose the toolset that best fits the job—OpenALPR, Firebase ML Kit, TensorFlow Lite, EasyOCR, or another permissively licensed library—provided it works fully on-device and builds without paid dependencies.

Deliverable:
1. A minimal Flutter project or plugin demonstrating the above features
2. Well-commented Dart code and any native bridges needed for iOS/Android
3. A short README explaining setup, required permissions, and how to hook the callback into another app

Please bid only if you have prior hands-on experience with real-time OCR or ALPR in Flutter; share a brief example or link. I’d like a working build within a week, with light post-delivery support for integration questions." (client-provided description)