endorsedCompleted

Flutter Mobile App with On-Device Pet Breed Detection

Services Covered:

Custom Software Development • Mobile Application Development

Industry

Information Technology

Duration

14 months

Budget

10K - 49K

Start Date

1 June 2023

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

82/100

Strong

Project Capability Score (PCS) estimates how capable DexBytes Infotech is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Blockchain Labs

Seoul, South Korea

Project Summary

DexBytes Infotech developed a cross-platform Flutter app for an IT company that implements on-device machine learning for pet breed detection using ONNX runtime and YOLO models. The team delivered real-time image processing, AI-based visualizations (Data Circles), and consistent performance across Android and iOS devices while responding promptly to bugs and providing regular updates.

Key Challenges

On-device Machine Learning for Identification of Pets
Use ONNX framework with Flutter

Project Deliverables

Fully functional Flutter app for Android and iOS.
Integrated ONNX runtime with YOLO models for pet breed detection.
AI-based Data Circles feature for pet analysis.
User interface designs and assets.
Source code with documentation and user/technical manuals.
Test reports, quality assurance documents, and app deployment packages (APK and IPA).

Project Solution

DexBytes built a Flutter-based mobile application for Android and iOS, integrated ONNX runtime and YOLO models for on-device pet detection and breed identification, optimized the models for mobile performance, implemented camera integration and real-time image processing, developed AI-based Data Circles for visualization, and provided local storage, documentation, testing, and deployment packages for both platforms.

Project Outcome

Achieved high breed detection accuracy and consistent app performance across Android and iOS devices.
Delivered measurable app performance metrics and progress milestones with proactive communication and timely milestones.

Platforms

Mobile

Tech Stack

Flutter
Android
iOS

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“DexBytes Infotech achieved an AI breed detection accuracy rate and consistent app performance across various devices. The team identified and resolved bugs, communicated well, and provided regular updates. The team's approach to optimizing AI performance on different devices was impressive.”
Rahul Yadav
Technical Product Manager
Date: 08/21/2024