🚀 A New Beginning

We are thrilled to announce that the WGAI project has officially joined the Dromara open-source community! This is a significant milestone, marking WGAI’s opportunity to share its unique capabilities with more developers and researchers, and to jointly drive progress in the field of artificial intelligence.

About WGAI
WGAI is an open-source artificial intelligence project released under the Apache License 2.0. This means you are free to use, copy, and distribute this work under certain conditions. With WGAI, users can not only leverage pre-trained models for various applications but also customize model training according to their specific needs to meet the requirements of particular scenarios.

🚀 Feature Design

• Execute tasks without knowing Python—no more worrying about technical barriers
• Online training, online annotation, and model lists
• Includes OCR, image-text, audio-video recognition, and more
• Local deployment of speech recognition and hotword configuration

🚀 Four Core Advantages

1. Java Full-Stack Friendly - Deep integration with the Spring ecosystem, offering wgai-spring-boot-starter
2. Self-Training Models - A standout feature of WGAI is its support for users to train models independently. This allows users, whether in academic research or industrial applications, to optimize model performance based on their own datasets and task objectives
3. Industrial-Grade Deployment - Supports ONNX export and TensorRT acceleration
4. Simple and Easy to Use - WGAI provides clean API interfaces and detailed documentation, enabling developers to quickly get started and integrate into their projects

🛠️ Applicable Scenarios

• Security Monitoring - Facial recognition (identity verification at airports, stations), behavior detection (identifying abnormal behaviors such as falls or fights, triggering real-time alerts)
• Transportation and Logistics - Autonomous driving (real-time recognition of road signs, pedestrians, and vehicles to assist navigation decisions), license plate recognition (automatic license plate recognition in highway ETC systems or parking lots)
• Industrial Manufacturing - Defect detection (AI visual inspection of product surface scratches and dimensional deviations to improve quality control efficiency), predictive maintenance (identifying equipment vibration or temperature data anomalies to predict failures)
• Financial Security - Fraud detection (analyzing transaction patterns to identify abnormal behaviors such as large transfers from unfamiliar locations), document verification (using OCR technology to automatically extract information from IDs and bank cards for authenticity verification)

💻 Quick Start

One-Click Training

One-Click Recognition

🚀 Open-Source Address

WGAI is a lightweight, modular AI assistant framework designed to provide developers with easy-to-use tools for quickly building intelligent applications. Whether you are a beginner in the AI field or an experienced developer, WGAI offers powerful support. Everyone is welcome to try it out and provide feedback to help drive the project forward!

If you find this project helpful, don’t forget to give it a Star! 🌟

• Gitee: https://gitee.com/dromara/wgai
• GitHub: https://github.com/dromara/wgai

Thank you for your support!

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