Winning Applications from 2019 Hackathon
WINNING APPLICATIONS FROM THE APRIL 2019 GOVERNMENT HACKATHON ORGANIZED BY GODI & MOBILE WEB GHANA
WASTE TO GOLD
The winning application was a waste of consumers app for companies who need waste as a raw material. The app enables anybody who wishes to sell waste to subscribe to the type and quantity of waste submits a post and with the notification the waste consumers will follow-up with the geo-location data to pick-up waste. The system will be rewarding waste producers for waste segregations based on the rating from the waste consumers.
Their solution is to help address waste challenges. The team claims to have conducted research and found out that Ghana produces 25,000 metric tons of waste per day, 65% of these wastes are organic, 10% plastic, 10.6% inert, 3% metal, and others. They also found out that these wastes have a negative impact on tourism and cause natural disasters such as flooding, disease outbreaks, land degradation, water pollution, and many more.
a. Company Data Search
Using the Registrar General’s Department data, this team developed a dashboard and visualizations using Power BI which allows users to search for registered companies based on their name, year of registration, and the nature of the business. The visualizations developed showed the distribution of the companies by their region of registration, year of registration, business type, and the nature of their business.
b. Health & Ambulance Visualization
They also used health data to visualize all the health facilities and ambulances in the country. These visualizations allow for filtering at the regional and district level.
c. Crop forecast
They used the data from the ministry of food and agriculture to visualize the yield of crops based on the land are cultivated, the region, district, and weather data. Using the weather data provided and forecasted weather data from the World Bank, they predicted future yields of various crops in various regions and districts with the assumption that the area of land cultivated for each crop remains the same. They then created an API from this machine learning model which can be consumed from any web/mobile application.
This team worked on a project the seeks to help achieve food security in Ghana. The team developed a dashboard that gives insight into agriculture data and helps users predict price and crop yield.
The problems their innovation seek to address are as follows:
• Lack of integration of Data for better analysis
• No clear Interpretation of data for future predictions
• Lack of insights from data to inform key MDA decisions and strategy
The Agro IQ product will give insights to members of staff of MDAs and help them strategize and develop better budgets and budget defensibility. Features of the app include the following:
Trend Analysis: See what the trends of price and yield have been over time
Predictions: Predict both price and yield to help and attract future Investors