Skip to content

Radiate was a two-day hackathon organized by Alpha Bio Cell on 9th May.

Notifications You must be signed in to change notification settings

Alpha-Bio-Cell/Radiate2020

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

49 Commits
 
 
 
 
 
 

Repository files navigation

Radiate


RADIATE

Perplex | Ignite | Lumos


Refer this link to visit the Radiate website.

Radiate was a two-day hackathon organized by Alpha Bio Cell on 9th-10 of May. Our goal was to try to break the monotony of everyday life of the imposed lockdown by hosting an ideathon and creating an online forum full of brilliant ideating minds who can work with each other’s expertise to create ideas to solve the problems of today. The participants will have to solve a set of riddles on an online platform that will lead to their ultimate problem statement. This ideathon also aims to showcase the powerful tool that technology is, as it helps us bring everyone together in times of isolation.

EVENT 1: Perplex

The aim of this round was to give our participants’ teams a chance to go on an intellectual journey through a series of riddles. These riddles will ignite the participants’ cognitive capacities, while at the same time gifting them parts of their problem statement. Hence these riddles have to be solved to get the ultimate problem statement.

Event 2: Ignite

This round was all about ideation and not applying boundaries to thoughts. The teams are expected to come up with novel and creative, sustainable ideas pertaining to solving the problem in their respective problem statements.

Event 3: Lumos

On the basis of their work, certain teams were selected from round 2, and these teams pitched their respective ideas over video conferencing to the panel on the basis of which they were evaluated and awarded.


Contributors

About

Radiate was a two-day hackathon organized by Alpha Bio Cell on 9th May.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • HTML 83.1%
  • CSS 11.7%
  • JavaScript 5.2%