Nision : ML Model Management and Deployment Platform

Overview

Nision.s is a cloud-based SaaS application designed to manage, version, optimize, and deploy machine learning models efficiently. The platform aims to streamline the machine learning model lifecycle, enhancing collaboration among data science teams and improving model deployment efficiency.

Features

• Model Versioning: Track and manage different versions of machine learning models, allowing users to revert to previous versions.
• Automated Deployment: Simplify the deployment process to production environments with a single-click deployment feature.
• Performance Monitoring: Monitor key performance metrics of deployed models (e.g., accuracy, latency) in real time.
• Basic Visualization Dashboard: Visualize model performance metrics for easy comparison of different versions.
• Team Collaboration: Enable multiple users to access and work on models collaboratively with basic permissions management.
• Model Upload and Storage: Upload and securely store trained models in the cloud.
• REST API for Predictions: Provide an API endpoint for predictions, allowing integration with other applications.
• User Authentication: Secure access to the platform for authorized users.
• Logging and Audit Trail: Maintain logs of model changes, deployments, and user actions.
• Data Pipeline Integration: Integrate with external data sources for easy data ingestion and preprocessing.
• Automated Retraining: Set up a pipeline to retrain models based on new data periodically.
• Documentation and Help: A comprehensive guide to using the platform effectively.

Tech Stack

• Frontend:
  • React (TypeScript)
  • Tailwind CSS
• Backend:
  • Python (Flask/Django)
  • Rust
• Database:
  • PostgreSQL
  • AWS S3
• Cloud Infrastructure:
  • AWS (Amazon Web Services)
• API:
  • Flask-RESTful
• Version Control:
  • MLflow
• Monitoring:
  • Prometheus/Grafana
• Authentication:
  • OAuth 2.0

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/Nision.s.git
   cd Nision.s

2. Setup Frontend:

   cd frontend
   npm install
   npm start

3. Setup Backend:

   cd backend
   pip install -r requirements.txt
   python app.py

4. Database Setup:

   • Configure your PostgreSQL database and update the connection settings in the backend configuration.

Contributing

Contributions are welcome! If you have suggestions for improvements or want to report bugs, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.