- 🔭 I’m currently exploring the integration of machine learning features for mobile applications.
- 🌱 I’m learning Software Engineering for Data Scientists (CI/CD, MLops)
- 👯 I’m open to collaborating on enterprise Machine Learning projects.
- ⚡ ...Aside from programming, I share content about machine learning methods and tools on medium and LinkedIn
| ☀️ Projects | 💬 Description |
| LagHP (Lagos House Rent Prediction | A Web app that gives users the possible rent of houses according to the user's location of choice in and around Lagos State, South West, Nigeria.
The data was web-scraped, engineered and used to train a linear regression model. HTML and CSS were used to create the front end while JavaScript and Flask server was used for the back end. The project is hosted on https://laghp.onrender.com/ |
| AGER | A project that utilizes facial recognition to predict the age, gender, emotion and race attributes of users. The image data was cleaned to train a deep-learning model to recognize the attributes. |
| Movie Recommender | A Content-based movie recommendation system that utilizes content similarity to suggest similar movies to users. Relevant content features such as genre, keywords, cast, crew and storyline are used to identify and recommend similar movies. |
GitHub Stat
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent