chijiokeorabueze Goto Github PK
Name: Chijioke Orabueze
Type: User
Company: Igrow Afrika
Name: Chijioke Orabueze
Type: User
Company: Igrow Afrika
This is a mini banking API project written extensively with Java and Springboot. It exposes endpoint for user creation and authentication and transfer, airtime purchase transactions. It uses flyway for database migration and integrates the spring security for jwt authentication.
This is a giant repository for the bluutembo project to help keep track of our work.
This is a full stack web application written with ReactJs, NodeJs, ExpressJs and Sequelize for managed database migrations. It also sets ups eslint and prettier for uniform code formatting and code quality analysis.
This is a machine learning project which explores different deep learning models for dog vs cat image classification problem.
This is the repository for Dufuna-CodeCamp 2021 cohort. All submissions related to tasks per scholar can be found in this repository.
This is my third mini deep learning project of 2023. It evaluates the performance of different model configurations on the keras boston housing dataset (regression problem). It uses keras and python to build and compile models
This is an dockerized API application built with the ruby on rails framework. It exposes 3 endpoints for creating, updating and fetching real estate properties. It uses ruby service methods, dry validation and validates property address. The specifications of the endpoints was documented using the swagger editor.
This is the second version of a full stack real estate management web application written with ReactJs, NodeJs, ExpressJs, Keycloak and MongoDb. In addition to allowing users carry out crud operations on real estate properties for sale, the application provides authentication by integrating with Keycloak.
Java microservices application using spring boot, spring security, keycloak, mongoDb, postgres, docker.
This is a neural network model for classifying mood from an image. This uses th Keras and Tensorflow frameworks.
Java microservice
This is a mini project which uses deep learning techniques to classifier movie reviews using the keras imdb datasets. The idea is to evaluate different configuration of models and their performance on the said data set.It is my first project in the series of machine learning projects of 2023.
This is my second mini deep learning project of 2023. It attempts to evaluate the performance of different model configurations on the keras news wire dataset (single-label, multi class classification problem). It uses keras and python to build and compile models
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