Facial Emotion Detection System

This project aims to identify human emotions using cameras. This was a collaborative work done during deep learning internship at Zummit Africa. We made use of the Ferplus dataset and transfer learning with various neural network architectures were also used for classification. They include Vgg16,EfficientNetB0,ResNet50 and MobileNetV2.

Skills and Softwares

I am comfortably skilled in using these softwares and technologies to provide business solutions using data.

Python

I am an advanced user of Python and its framework and libraries like Pandas, Numpy, Seaborn, Matplotlib, Sklearn, etc.

SQL

I am highly competent in Microsoft SQL Server and PostgreSQL to interact with the database.

Tableau

I am highly skilled in using tableau for data analysis and visualization.

Tensorflow

I am competent in using Keras and Tensorflow framework for deep learning.

AWS SageMaker

I am competent is using Sagemaker to build ML models. I am also a Certified AWS Cloud Practitioner.

Webscrapping

I am also competent in using BeautifulSoup, Request, Scrapy libraries to get data from a website.

Microsoft Excel

I am an advanced user of Excel and Google Sheet tools for data analysis.

Alteryx

I am competent in using Alteryx designer software for ETL and automate data analysis processes.