Welcome to InnovAI, your all-in-one platform for streamlined AI model development, customization, deployment, and management. InnovAI empowers developers, data scientists, and businesses to create, optimize, and deploy powerful AI solutions with ease.
- Automated Model Building: Quickly deploy industry-specific AI models with minimal coding.
- Drag-and-Drop Interface: Design AI workflows effortlessly with an intuitive visual interface.
- AutoML for Customization: Optimize custom models automatically based on your data.
- Data Integration Hub: Connect seamlessly to diverse data sources for robust model training.
- Collaboration Tools: Enhance teamwork with version control, annotation, and real-time collaboration features.
- Model Explainability and Debugging: Understand and interpret model decisions for transparency.
- Scalable Deployment Options: Deploy with one click to major cloud providers or on-premises infrastructure.
- Continuous Monitoring and Optimization: Real-time tracking and optimization suggestions for evolving data patterns.
To use InnovAI locally, follow these steps:
# Clone the repository
git clone https://github.com/yourusername/innovai.git
# Navigate to the project directory
cd innovai
# Install dependencies
pip install -r requirements.txtUse the /login endpoint to log in with your credentials. Access protected routes using the /protected endpoint.
Create a new AI model using the /create-model endpoint. Train the model with training data using the /train-model endpoint. Evaluate the model with held-out data using the /evaluate-model endpoint. Deploy the model to production using the /deploy-model endpoint.
Access real-time monitoring metrics for a deployed model using the /monitoring-metrics/<model_name> endpoint.
Contributions are welcome! Please follow the Contributing Guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.