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Project

Project summary goes here. Examined data and its diverse trends by employing Spark queries on Google Dataproc within the Hadoop framework, utilizing extensive datasets sourced from Kaggle.

Data Analytics

Python
Spark
Hadoop
Google Cloud
Pyspark

Paper Publication

Implemented a rule-based system to forecast crop yield production from a pool of collected data by applying Artificial Neural Network algorithm and Convolutional Neural Network algorithm.

Image Processing

Python
Matplotlib
Scikit-Image
Tensorflow
Numpy
Pandas

This paper explores the vital network strategy of load balancing specifically from architectural perspectives of optimal performance, visibility, adaptability and access continuity that define industry-grade application delivery now and into emerging networked horizons.

Load Balancer Application

HTTP(S) Load Balancing
Instance Groups
Health Checks
Firewall Rules

Project

This project is developed as part of CPSC 583 - Expert System Design Theory, where we delved into the principles of building intelligent systems. It serves as a practical implementation of the knowledge gained in the course

Expert System Design

Python
SPARQL
RDFlib
Tkinter

Practical Research Project

This is is practical research project designed to help homeless people to guide them with cooking. It uses machine learning, observes users following recipes, offering automatic reminders to guide them through the cooking process, particularly beneficial for individuals with cognitive disabilities or mental health disorders.

Image Processing

Python
Transfer Learning
Convolutional Neural Network

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