Olatunde Olukoya's Projects
Using random numbers to generate a 3 dimension plotting in python
Admin Dashboard | Charts, Calendar, Tables and Kanban Trello board Todo App | UI with React
Responsive Admin Dashboard using React and Css modules
Responsive Admin Dashboard With React
Using CNN to detect the Age and Gender of the user
Building a lengthy articles summarizing application with OpenAI's GPT Model pleasant User Interface
Using EasyOCR, imutils and OpenCV to detect number plates on cars
Using OpenAi API to create a ChatGpt 2.0 Version with tailwind CSS
Drop Down Menu Using HTML And CSS | HTML
Selenium Java Hybrid Framework (TestNG, POM, PF, ExtentReports,Git,GitHub,Jenkins)
Classifying the Emotion of person, Using Naïve Bayes, Logistic Regression, and Decision Tree Classifier
End To End NLP project and Web Application deployment using stream lit
Using Deep Learning (Convolutional Neural Network ) to train image with and without mask and building a predictive system to detect if a person is putting on a mask or not.
fully Responsive and interactive Fitness Club design from scratch to deployment using react
predicting the price of Air ticket using Random Regressor
(GANs) are a type of deep learning model that can be used to generate new data, such as images, text, and music. GANs work by using two neural networks: a generator and a discriminator. The generator is trained to produce new data that looks like real data, while the discriminator is trained to distinguish between real and fake data.
Predicting the price of gold
Building a heart disease prediction system using Logistic Regression model with 90% accuracy score
Fully responsive and eye catchy website for hotel bookings