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9Multi-model bearing fault detection using vibration analysis, deep learning, and explainable AI
Production ML system for BESS dispatch optimization — SoC/SoH modeling, Pyomo optimization, and RL-based dispatch using real ERCOT market data
This project showcases an AI-powered renewable energy trading platform built with modular microservices. It uses machine learning to forecast energy output, prices, and demand, enabling real-time automated trading decisions. The system includes containerized services for forecasting, trading, scheduling, and visualization, orchestrated on docker.
An advanced agentic AI system that automates and optimizes caption-to-image generation through iterative refinement, combining Vision-Language Models with LLM-guided reasoning to achieve significant improvements in semantic accuracy and text-image alignment.
course project at Northeastern University in EAI 6080, Fall2025
No description provided.
No description provided.
Binary classification of MNIST digits 3 and 7 using PyTorch
No description provided.