How do you choose the best from the best? I am sure judges had really hard time to select the best ones from the pool of 19 unique projects. However there has to be the winners at the end. The first prize of OpenNepal Hackathon of Rs. 30000 went to "Aid Flow Data Analysis and Visualization" which visualizes the aid data in the world map, showing the flow of money from donors to recipient countries. Similarly Bloodplus bagged the second award with cash prize of Rs. 20000. Bloodplus uses data from hamroblood.org and shows the blood donors distribution by age and blood group and also maps the donors in the Nepal map. "Map Accident in Kathmandu Valley" won the third prize of Rs. 10000; it uses data from traffic police available in pdf format and maps the data to show the accidents prone area in Kathmandu.
OpenNepal hackathon on Jun 5 saw 19 projects from 75 participants. The hackathon organized as a part of the OpenNepal Week took place the next day after 2 days of data literacy bootcamp. Around 20 participants - journalists and developers - from the bootcamp were also part of the hackathon event. The event started with the quick overview of the day and pitching of the ideas. An orientation was held a week ago to discuss on the open data and hackathon and how to go about the problem statements - the orientation was basically to save time during the day of hackathon. The not so easy yet comfortable part of open data hackathon is participants could choose to do the project of their interests, after all the project has to be do something with the data.
Most of the projects in open data hackathon didn't have any open data as such to use in their projects. Rather they had to search for the data in different websites, and then scrape data from pdf and html in csv format. However the products at the end were impressive. Most of the projects were visualizations of the data. I feel that when we talk about open data hackathon, most of the time we think of ways of visualizing data. However there's much more to it, we could use open data to give information and at the same time use it to get feedbacks on the data. For eg, a project on schools open data could use the data to get feedbacks and ratings on schools by the parents and students, potentially making it very useful for the parents to find the right school for their children.
All the projects from the hackathon are available in google docs here.