Projects
LED Defect Detection (With Oriented Bounding Box) 2024
In-progress project: developing AI chat app for hospital group info, utilizing Language Model (LLM) tech, exploring LLM chaining, agent-based methods, and prompt engineering for accuracy.
Artificial Intelligence Machine Learning Deep Learning Large Language Model Natural Language Processing Python SQL PyTorch Langchain Scikit-Learn Matplotlib
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Multilabel Video Classification 2023
Reproduced FrameExit paper's SOTA results in video recognition using HVU dataset, overcoming challenges with existing models, achieving 49.28% mAP.
Artificial Intelligence Machine Learning Deep Learning Object Detection Multi-label classification Computer Vision Python PyTorch OpenCV Scikit-Learn Matplotlib Scipy
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LED Defect Detection (With Oriented Bounding Box) 2023
Developed AI system to detect LED defects on PCBs, adapting model to generate oriented bounding boxes for tilted LEDs. Established baseline and improved it.
Artificial Intelligence Machine Learning Deep Learning Oriented Object Detection Computer Vision Python PyTorch OpenCV Scikit-Learn Matplotlib Scipy
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PCB Defect Classification 2023
Replicated SOTA paper on PCB defect classification, augmented dataset, fine-tuned models, enhancing results. Detailed results available in portfolio.
Artificial Intelligence Machine Learning Deep Learning Image Classification Image Augmentation Computer Vision Python PyTorch OpenCV Scikit-Learn Matplotlib Scipy
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Enhance Existing Automatic Speech Recognition Model 2023
Focused on long-term maintenance and improvement of Automatic Speech Recognition (ASR) model, updating with new datasets, training acoustic and language models iteratively.
Artificial Intelligence Machine Learning Deep Learning Automatic Speech Recognition Digital Signal Processing Speech-to-Text Noise Reduction Python MATLAB C/C++ PyTorch Scipy Scikit-Learn Matplotlib Scipy
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Design a noise robust VAD algorithm 2022
Implemented novel Voice Activity Detection (VAD) algorithm using digital signal processing (DSP) techniques, reducing computational costs without deep learning models.
Artificial Intelligence Machine Learning Deep Learning Automatic Speech Recognition Digital Signal Processing Speech-to-Text Noise Reduction Speech Enhancement Python MATLAB C/C++ PyTorch Scipy Scikit-Learn Matplotlib Scipy
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Design a wake-up word algorithm 2021
Implemented wake-up word feature for ASR applications, defining trigger phrases and experimenting with speech features like MFCC and PLP.
Artificial Intelligence Machine Learning Deep Learning Automatic Speech Recognition Digital Signal Processing Speech-to-Text Feature Selection Feature Extraction Python MATLAB C/C++ PyTorch Scipy Scikit-Learn Matplotlib Scipy
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Preprocessing System for Speech Enhancement 2020
Developed preprocessing methods for speech signal enhancement: noise removal, dereverberation, and speaker separation, utilizing AI models for effectiveness.
Artificial Intelligence Machine Learning Deep Learning Automatic Speech Recognition Digital Signal Processing Speech-to-Text Noise Reduction Speech Enhancement Python MATLAB C/C++ PyTorch Scipy Scikit-Learn Matplotlib Scipy
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Auto-Parts Counter System 2019
Developed advanced auto-parts counter using object detection and tracking, aiming to replace weight-scaling method, showing promising results.
Artificial Intelligence Machine Learning Deep Learning Object Detection Object Tracking Computer Vision Python Keras Tensorflow OpenCV Scikit-Learn Matplotlib Scipy
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Paper Document Information Extraction 2019
Developing automated document information extraction system for handwritten and computer-generated text, employing segmentation, AI models, and OCR techniques.
Artificial Intelligence Machine Learning Deep Learning Object Detection Computer Vision Tesseract OCR Python Keras Tensorflow OpenCV Scikit-Learn
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Blood Cell Detection and Localization 2019
Focused on long-term maintenance and improvement of Automatic Speech Recognition (ASR) model, updating with new datasets, training acoustic and language models iteratively.
Artificial Intelligence Machine Learning Deep Learning Object Detection Computer Vision Python Keras Tensorflow OpenCV Scikit-Learn Matplotlib Scipy
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AI-based Automatic Visual Inspection Machine 2019
A responsive web application for travel planning that my team developed in ICS 415.
Artificial Intelligence Machine Learning Deep Learning Object Detection Computer Vision Python Keras Tensorflow OpenCV Scikit-Learn Matplotlib Scipy
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