Hephaestus

Applied Artificial Intelligence Association

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Featured Projects

AI for the Visually Impaired: A Constraint-First Assistive Vision Report

AI for the Visually Impaired: A Constraint-First Assistive Vision Report

A constraint-first AI assistive-vision project for blind/low-vision users that trains models under real deployment limits (offline, low latency/memory, noisy "blind photography", safety-critical operation) rather than optimizing clean-data accuracy first. This approach yields better calibration and smoother degradation than scale-first distillation, and proposes a modular offline-first system spec (OCR, object/currency recognition, motion cues) aligned with EU regulatory requirements.

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A Multiclass Learning and Inference System for Brain Tumor Detection

A Multiclass Learning and Inference System for Brain Tumor Detection

An investigation into brain tumor detection from MRI scans, comparing hyperdimensional computing with conventional computer-vision models such as convolutional neural networks. Performance and computational efficiency are evaluated to characterize accuracy–efficiency trade-offs relevant to practical biomedical image analysis.

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Efficient Pricing of Exotic Derivatives: Deep Learning Approximation under GBM, Heston and Bates Models

Efficient Pricing of Exotic Derivatives: Deep Learning Approximation under GBM, Heston and Bates Models

Approximating exotic-derivative pricing functionals using deep neural networks trained on Monte Carlo-simulated data. A large synthetic dataset is generated under Geometric Brownian Motion, the Heston stochastic-volatility model, and the Bates jump-diffusion model, and pricing accuracy and robustness are evaluated across multiple path-dependent contracts.

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