01. Executive Abstract
Test thesis abstract created during API testing
This practicum report outlines the software design patterns, architectural trade-offs, and empirical benchmarks established during the implementation phase.
Track Focus:Computer SciencePracticumSoftware EngineeringRUPP ITEPythonTensorFlowOpenCVPyTorchDockerReact
02. Problem Statement & Motivation
Standard solutions often struggle with domain-specific resource constraints in local deployment scenarios. The primary goal of this capstone initiative was to engineer a robust, scalable system that reduces latency while maintaining high precision.
03. System Architecture & Methodology
The methodology incorporates modular component design, automated pipeline testing, and lightweight API orchestration. Data preprocessing pipelines were benchmarked against industry standards to validate stability under concurrent load.
04. Key Results
| Metric | Reported Value |
|---|---|
| Character Recognition Accuracy | 98.4% |
| Inference Processing Latency | < 120ms |
| Training Corpus Size | 15,000 Khmer Samples |
| Model Footprint (Compressed) | 42 MB |
05. Tech Stack & Tools
PythonTensorFlowOpenCVPyTorchDockerReact