This project demonstrates a secure machine learning inference pipeline where access to the model is controlled to prevent unauthorized usage.

Public ML endpoints are vulnerable to misuse if not properly secured.

Implemented a basic training and inference flow with a structure that can be extended to include authentication (Firebase), API security, and cloud deployment.

secure-ml-inference/ │── src/ │ ├── train.py # Model training logic │ ├── inference.py # Inference logic │── README.md

• Modular training and inference code
• Clean, scalable project structure
• Ready for cloud & security integration

• Python
• Machine Learning (basic structure)
• GitHub

• Add Firebase authentication
• Expose inference as REST API
• Deploy on cloud (GCP)
• Add logging & monitoring