Microsoft announces winners in their LEAP Engineering Acceleration Program

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Microsoft has announced winners for its Leap Hackathon for women in technology as part of the LEAP Engineering Acceleration Program. The event aimed to increase technology skills, facilitate learning through challenges as well as strengthen the place of women in the technology sector. It is focused on solutions in the agricultural and health sectors.

The LEAP Engineering Acceleration Program is a 16-week program which was launched to increase diversity within Microsoft. The program provides real world experience through development and project management apprenticeships and combines traditional classroom learning with hands-on projects.

32 Female hackers were identified to participate in the hackathon using a strict recruitment process which helped gauge the abilities of the applicants through 2 rounds of evaluation of the applications. Participants of the hackathon received Azure credits while the overall winning group was awarded prizes.

The winners, The BugSlayers, took centre stage with their innovative AgRight presentation. AgRight is a web application that uses Microsoft AI (Azure Custom Vision) for pest and disease prediction. The app can also predict harvest time, connects farmers to buyers and monitors farm activities. The people behind the project are; Clara Nashipai, Sylvia Achach, Rosianah Musyoka and Bethany Jepchumba.

Microsoft will work with the winning group on an ongoing internship program where they will be mentored and helped to further build and develop their solution and skills.

The participants were as follows;

Group Name Members  Solution Presented Technology Used 
The BugSlayers (Winners) Clara Nashipai

Sylvia Achach

Rosianah Musyoka

Bethany Jepchumba

AgRight- Web Application that uses Microsoft AI for Pest and disease prediction/Predict harvest time. Connect farmers to buyers and also monitor farm activities  Azure Custom Vision
Sheroes Emma Omingo

Hellen Kokach

Ayan Keynan

Shannon Mujera

Sheroes Farm Insurance– Web-based solution using AI to determine premiums and cover for farmers Microsoft Azure Machine Learning Studio
Mtazao Waithera Wanyee

Lorraine Mutheu

Maria Kisenga

Maureen Wambui

Mtazao-System that connects farmers and buyers directly through a website/ USSD and SMS. Price statistics  Microsoft Azure Custom Vision
200OK Joyce Wambui

Michel Atieno

Lavender Aluju

Esther Wanjiru

Ukko – Platform that leverages data analysis to predict yield/harvest time and connects farmers to buyers before harvest. Django Framework (Python)

React/Java

PostgreSQL

Microsoft Azure Machine Learning Studio

GONSFarm Brenda Nyakoa

Amisa Mohamed 

Marlene Cherop

Angelica Nyambura

GONSFarm-Web based solution providing farmer data to banks for determining advancement of loans Microsoft Azure Machine Learning Studio
Phoenix Nicole Sigei

Elinor Kaguongo

Margaret Kimani

Joan Moturi

Lima Loans– Providing farm inputs to farmers on loan and selling their produce on their behalf. A percentage of the sold produce goes to repaying for the loan. Microsoft Azure Machine Learning Studio
F-Connect Eunice Gatehi

Annalis Kirwa

Lilian Mathu

Christine Wanjiru

Farm-Connect– Web- based Platform/interface connects farmers and buyers. Also uses IoT data to provide information on condition and quality of produce. JavaScript

HTML

PHP

Microsoft Azure IoT Hub

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