Automated Production Package Deployment Solution

Aditi @ Building Production Grade LLMs - * Thank you AI community for visiting my repository - Stay tuned for awesome Dev-ops AI Learning Resources ** ** If you find the repository useful please give it a star - Thank you for visiting my repository - Happy Learning **

Entire MERN Stack Revision in Fast-Forward. This Repository contains revision code and notes for Interview perspectives from Basic to Advanced

Random Vectorizer API: Production-quality endpoint for generating random 500-dimensional arrays of floats from input sentences. However, this repo focuses on deployment of a Flask application in Production.

Deep learning system for real-time face mask detection achieving 98.2% accuracy using ResNet18 architecture, PyTorch, and Gradio. Features efficient inference (0.12s), optimized model size (44.7MB), and a balanced dataset of 20,000 images for robust production deployment.

🚀 Master Docker with structured learning paths, practical examples, and tools, all designed for effective containerization and deployment.

Aditi AI Enterprise Architect Product Portfolio - * Thank you AI community for visiting my repository - Stay tuned for awesome AWS AI Research Learning Resources ** ** If you find the repository useful please give it a star - Thank you for visiting my repository - Happy Learning **

Enterprise-grade Cloud Resource Management Dashboard built with a complete 3-tier architecture — React frontend, FastAPI backend, and Azure SQL database. Includes full documentation, deployment guides, SQL scripts, and production-ready configuration.

Comprehensive Docker platform: 13 concepts, 8 labs (Kubernetes, GitOps, observability). Progressive learning from basics to production. Security hardening, microservices, CI/CD, monitoring stacks, enterprise patterns, and real-world case studies.