ml-platform-workflow

Stop trusting your pipeline. Verify it; visually on a canvas or in Python. Self-hosted platform + Apache-2.0 library.

Detects floating sargassum from satellite imagery, models its drift with ocean currents and wind, computes an arrival ETA for 11 DR coastal zones, and sends Telegram alerts to fishermen and hotels.

An AI-powered cloud threat detection system with a full MLOps lifecycle multi-source log ingestion, unsupervised anomaly detection, MITRE ATT&CK mapping, CVE enrichment, and a Claude-powered SOC analyst, all wired into a Kubeflow pipeline that trains, gates, and deploys to KServe automatically.

Revenue recovery that reasons

Hie.. i have build the student prediction model using ML algorithms and concepts as we need the student dataset analysis but its hard to perform it manually. My prediction system will work just for you and your dataset.

The project combines traditional quantum computing and machine learning techniques in novel ways using: Quantum algorithm simulation: It offers applications for Shore, Grover, and quantum Fourier transform (QFT) algorithms, making it an environment for testing these algorithms with the impact of holographic shielding techniques.

Small on-prem machine learning ecosystem for small-data environments, where fast iteration, maintainability, and reliable deployment matter more than large-scale infrastructure.

Shared development toolbox for engineers. Provides reusable data + modeling pipelines and a unified packaging/deployment client for ml-deployment-ecosystem. Not for storage of models/data or high-frequency production extraction.

A comprehensive Deep Learning-based Heart Disease Prediction System that analyzes patient clinical data and predicts cardiovascular disease multi-class risk classification (Low, Medium, High Risk) through an Artificial Neural Network (ANN) and binary disease detection via Random Forest and Logistic Regression models.

Developing and deploying a monoclonal antibody (mAb) titer predictive mode for bioprocessing experiments + ML pipeline

A lightweight, config-driven ML training framework