Pushing the boundaries of machine perception, autonomous reasoning, and adaptive learning — one model at a time.
Each module is a living experiment — deployable, interactive, and designed to push the boundaries of what runs in a browser.
Advanced real-time object detection and semantic segmentation model, optimized for edge computing. Capable of identifying and classifying complex patterns in chaotic visual environments with sub-20ms latency.
Trainable K-Nearest Neighbor classifier on top of MobileNet. Teach the system to recognize specific faces or objects directly in your browser — zero server round-trips.
Genetic algorithm fused with neural networks. Agents learn to navigate infinite obstacles by evolving their brain structure over successive generations — no human-defined rules.
Interactive playground for core RL algorithms. Q-Learning on Grid World and Multi-Armed Bandits. Watch value functions update live — every iteration visible, every decision explainable.
Time-series forecasting engine built for high-volatility datasets. Applied in financial modeling and resource allocation. Detects anomalous patterns before they compound.