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 |