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Friday, February 21

12:40pm WAT

Demystifying Machine Learning on the Web with TensorflowJS

This talk would give a little background into what machine learning is, and an introduction to TensorFlowJS. We would talk briefly about the benefits of machine learning on the browser and show some practical applications. We’d also look into the different methods, and platforms in which it can be used and some demos on how it can be used.

avatar for Shedrack Akintayo

Shedrack Akintayo

Developer Relations Engineer, Platform.sh
Shedrack Akintayo is a Developer Relations Professional and Technical Writer with over 5+ years of experience in Technology and a track record in Web Engineering, Community Management, and Developer Relations on a global scale. He has given talks/workshops at developer conferences... Read More →

Friday February 21, 2020 12:40pm - 12:50pm WAT
Lagos Zone Tech Park, Plot 9 Gbagada Industrial Scheme, Beside UPS, Gbagada Expressway

12:50pm WAT

Building a Mood Detector App with Python and OpenCV on Azure

My talk would walk the audience through building an AI-powered web app using Python and Flask running on Microsoft Azure. This web app analyses faces using AI and stores information about the emotion of faces in the image, notifying the user if it detects sad faces multiple times. The web app also serves up a simple HTML page showing the data captured.

How would this work?
Once a picture has been successfully taken, a Web API - built in Python - will receive the picture, and analyze it using the Azure Face API (an AI service that can recognize faces in images, as well as estimating the age of the face, if the person is smiling amongst other things) from Azure Cognitive Services.

The Web API will use this cognitive service to detect the emotion of all the faces, which will in turn be saved into a database called CosmosDB - a document database. These documents contain key/value pairs of data stored in a format called JSON. The API would also return a count of emotions, which the python app would use in asking wether the user is 'Okay' when the number of sad faces is greater than or equal to 3. This is a simple illustration around how this technology could be used as a self care app.

This is certainly going to be a fun learning experience :)

PS: It is pertinent to note that this is NOT a workshop, just an insight into what's possible with Azure's Face API. A proper workshop on this subject topic would take 3+ hours, which we - obviously - don't have.

This talk is an insight into what's possible with Azure's Face API (a member of the Azure Cognitive Services family). A workshop on this project is publicly-available, here: https://github.com/microsoft/hackwithazure

avatar for Korede Bashir

Korede Bashir

Software Engineer, Bute Systems Limited
A result-driven software engineer with an expertise in community building. Skilled in Community Building, Software Engineering, JavaScript, and Python Programming. Writes about Azure on dev.to, and on http://azure.bashirk.tech. Never lost to anyone in a game of PES, yeah.

Friday February 21, 2020 12:50pm - 1:00pm WAT
Lagos Zone Tech Park, Plot 9 Gbagada Industrial Scheme, Beside UPS, Gbagada Expressway
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