Code and Response Cairo Teams: Please Join Call for Code
The Code and Response Cairo hackathon was held on June 22-24 at the American University of Cairo – with a preparatory evening at the Greek Campus on June 20. The themes included natural disasters with an emphasis on water.
Teams Please go ahead and Join:
- the slack channel for call for code where you can get support. To request an invitation to join the slack channel please go this page: http://www.callforcode.org/slack
- the global call for code challenge here https://callforcode.org/challenge/. The submission deadline is July 29, 2019
The Cairo Teams
The following great teams persisted through the hackathon, identifying an idea to pursue, and building their demo and presentations for the judges:
- Cantalopa – A Points System for Household Water Meters – reducing the incidence of droughts
- Catastrophe – Smart Irrigation
- Eco – Evolving Rice and Other Crops to Grow in Salt Water – reducing the incidence of droughts
- Hackers – Monitor Private Use of Water and Provide Discounts- reducing the incidence of droughts
- Innovators – Improve cascade pump stations operation via IoT and Machine Learning
- The Green Life – Create Desalination Plants for Water – reducing the incidence of droughts
- Hodhod – Volunteering Platform for Disaster Situations
- X Solutions – Monitor Water levels in Floods
Three Cairo Teams Highlighted – June 23, 2019
On June 23, three teams were highlighted by the judges: Team Cantalopa, Team Catastrophe & Team Hodhod.
Team Cantalopa – A Points System for Household Water Meters
Team Cantalopa’s project is to encourage a significant reduction of water use by households cutting down the risk of drought
According to the United Nations, Egypt could run out of water by 2025. Most of the water usage comes from the Nile rather than renewable water resources. The Cantelopa team is focused on getting people more more involved in the efforts to conserve water? A âPoints and Rewardâ system for water meters. The government would award points to households that are below a calculated average each month. The rewards for acumulated points would include discounts on future gas bills in addition to promotions and vouchers from sponsors. The project would be funded through government and external sponsors.
The team is using Ionic for the user interface, Cloudant for data storage, and plan to use Cognos for Analytics.
The Cantelopa team, who are all students at the German University Cairo, is made up of Marwa â FrontEnd Developer, Rana âUX/UI Designer, Mai â BackEnd Developer, and Nadine â Product Developer
Team Catastrophe â Smart Irrigation
Team Catastrophe created a smart irrigation system with IoT services & Machine Learning – customizing the amount of water used and reducing the risk of drought. The project targets farmers and agricultural engineers as well as victims of droughts who will benefit from better water usage.
The project is made up of a mobile app connected to monitors and control systems. It also accesses databases to store information on plants as well as user profiles. The team trained a neural network to recognize hundreds of different plants and assign different moisture threshold to each one. In order to deploy the project monitors and control systems in the form of sensors and water valves need to be added to water irrigation systems. The team estimated that the additional cost to the irrigation system is less than 5%
The team is made up of students from various universities.
Team Hodhod â Volunteering Platform
Team Hodhod provided a community app toolbox to help volunteers to respond to disasters like floods. The team used the Alexandria (in Egypt) flash flood as a motivator, however the app can be used to support volunteering in a variety of natural disasters.
Team Hodhod provide a unified platform that can be used by volunteers and entities such as relief organizations and government.
â¢ The volunteering toolbox enables volunteers to see where they are most needed
â¢ The platform provides a unified dashboard that gives an overall view of what is happening and supports decision making based on facts
Behind the scenes. the app detects and predicts natural disasters using Watson Machine Learning by analyzing feeds from drones. And uses computer vision to analyze patterns and the level of the disaster. Natural Language Processing (NLP) is used to analyze Twitter and Facebook activity to tell if a disaster is taking place.
The team is made up of established industry professionals who have participated in multiple hackathons before – including the Hajj Hackathon in Saudi Arabia which also appears in the Guinness Book of Records as the largest hackathon ever held.
We are really happy to meet you â¤ï¸â¤ï¸â¤ï¸ Hodhod team thanks you very much ððððð
— Abeer (@beeeroz) June 23, 2019