from nits and perhaps a hundred other colleges but by march 3 the day of the results everyone knew the name of our college said ganesh sanap a thirdyear it student from the walchand college of engineering sanglikey to their victory was the way they assembled the team of six in august lastwe wanted to have a team of expert from different domains so two students each had expertise in machine learning web design and android these experts picked the problem statement by goa shipyard limited which comes under the ministry of defence they wanted us to create a secure video broadcasting service that could relay messages within a system that included nearly 2500 people said sanapthe challenges were many the broadcast system had to accommodate 2500 concurrent users it also needed to be seamless with a recording function so that when the md speaks he is not interrupted by glitches the system also needed creation of closed groups so that management can pick a select group to address added sanapthe expertise in different fields helped in executionthere was one video recording session which we were unable to save a vital requirement as the database we had worked on was basic so two members created an entirely new application within two hours using hadoop and it worked we could finally store data we had won said sanapalgorithms that will usher in automationmit world peace universityteam mit was the winning team at the smart india hackathon 2019 for resolving a problem statement put forward by logistics giant vanderlandethe problem statement was ai optimization of warehouse activities and a system to support automation in the form of robots our team developed a system that used ai technologies such as machine learning deep learning and computer vision to support the automation of important warehouse activities like order picking slotting and replenishment said team lead ameya mahabaleshwarkarone of the first challenges the team faced was incorporating inputs from the human workforce at a warehouse into the systembut we then used this opportunity to propose an idea where a drone could use our system to track the most productive workers and that data can be used to develop a strategy for robots our system was capable of providing realtime data as well as insights into conditions at the warehouse down to the week using predictive capabilities of algorithms these algorithms can help warehouses of the future maximise efficiency and productivity said mahabaleshwarkarwhen engineers had to dive into medicineiiit punethe iiit pune team had a problem statement in the complex category the toughest moreover for its project to be even implemented the engineering students needed to know all about medical diagnosisour problem statement was inconsistencies in medical annotation said team member disha dudhalnow every patients data is descriptive but all this data cannot be stored in a database so doctors pick key words from the database and they are entered into categories so if a doctor wants to see a