M

machine-learning

Full stack IoT predictive maintenance platform with embedded firmware, sensor telemetry, FastAPI services, PostgreSQL storage, dashboards and anomaly detection.

ESP32-S3 firmware platform: FreeRTOS multi-task architecture, BLE protocol, OTA recovery, tiered persistence, and on-device ML inference

CasperEngine - Sovereign AI inference engine with NIYAH kernel. ARM64 native C implementation with custom tokenizer, GGUF model support, and pure mathematical AI training pipeline.

Project information This is the final source code for my model deployment—a Streamlit application for the Netflix Movie Recommendation System, or we can use the Flask framework. The complete model training, exploratory data analysis (EDA), and data preprocessing are available in my GitHub repository.

GitHub: github.com/aydiegithub/

Live Demo: aydie.in/ml/netflix-recommendation

Contact: business@aydie.in 9036469492 aydie.in

Provide a good solution to the CFM 2020 Challenge the hard way (hand writing the optimizer, directly use the Linear Algebra routines, use the most out of the multicore hardware).