Tobi's Projects
Project involved the implementation of the A* search algorithm using python
Project involved the analysis of a covid-19 dataset, applying bayes theorem to estimate probabilities and using KNN ML algorithm to train a model and make predictions based on the data
Project involved the implementation of two uninformed search algorithms(Depth First search and Breadth First Search)
Project involved applying greedy algorithms, dynamic programming, recursion, memoization and tabulation to solve programming problems
Project involves the application of bayesian inference using python pgmpy library. The python script modelled the bayes net and obtained some probabilities based on the model.
API for bcs learning app for preparing for the bcs exam. This project also contains unit tests and a CI/CD pipeline that deploys the project to Azure App Service
Developed a bookstore api prototype to explore the features of .Net 5. Concept explored included the dependency injection, middlewares, entity framework core, automapping, action results, routing, route validation, api security, cors, security etc.
System to manage camping events. Handles registration of campers, ID card generation and accomodation allocation. Devloped with ASP.Net MVC
The Complete Intro to React, as taught by Brian Holt on Frontend Masters
List of Computer Science courses with video lectures.
Personal website
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
Project involved implementing the graph data structure using adjacency matrix and adjacency list. The graph initialization options involved from edge list file and direct edge input from user
Analysis of data from a garment factory to understand how different factors of production affects cost. The project involves data cleansing, descriptive analysis, principal componenet analysis and regression analysis.
Project involved the development of a data pipeline using airflow and python. The data pipeline ingested trending movies' and distributors' data from imdb and box office, cleansed, formatted, combined and indexed the data on elastic search. Also, a dashboard was created from the data using kibana analytics. The tools and libraries used in this project included: selenium for data ingestion, pandas for data cleansing and formatting, pyspark for data combimation, elastic search and kibana.
Project involved the implementation of a news publishing system prototype using the observer pattern
Project involved the implementation a login system prototype using the strategy pattern
Project to explore Cloud Build in GCP
Sample project for the dockerizing spring boot microservices on GCP article
Damn Vulnerable Web Application (DVWA)
期末分布式系统大作业
A client-server distributed group chat app implemented using java sockets.
Google core libraries for Java
Hands-On Penetration Testing with Python, published by Packt