Bayesian Particle Filter & Image Toolkit

A comprehensive mathematical toolkit featuring Bayesian particle-filter heatmaps, matrix-based image processing with FFT visualization, and cryptography demonstrations.

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The Problem

Visualizing complex mathematical concepts like Bayesian filtering and FFT in real-time is computationally expensive and often lacks intuitive UI for educational purposes.

The Solution

Developed an optimized Python/NumPy toolkit with interactive visualizations for particle filters and image processing algorithms, demonstrating complex math concepts in real-time.

System Architecture

Modular Python library with separate modules for filtering, image processing, and visualization. Uses vectorization for high-performance matrix operations.

Architecture Diagram Placeholder

Tech Stack

PythonNumPySciPyMatplotlibOpenCV

ML Performance

Model Architecture

Bayesian Particle Filter

Inference Latency

5ms

Key Metrics

98%

convergence Rate

<2px

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