SP Jain’s Hackathon 2019 | SP Jain School of Global Management

Hackathon 1

Solving the Potable Water Problem

Safe water is scarce for 1 billion people around the world. Rapid urbanisation, migration to cities due to lack of opportunities in rural areas, population explosion and lack of government initiatives are all compounding the issue of safe drinking water.

What We Expect from You

Students will have to come up with a definition of the problem by articulating low-level complexities in their area of concern (could be a village, town, country or region). Once the problem has been articulated, students are expected to use the knowledge they have on computer science, mathematics and data science to identify possible areas of intervention and propose a solution.

Deliverables: A Project Report, a PowerPoint Presentation, a Solution Proto-type (for example, an HTML mock-up or an app proto-type)

You are not expected to have specialised skills in web development, app development or any computer software.

Hackathon 2

Solving the Allocation Problem in a Retail Store

Once the fit-outs are ready and a retail store is prepared to open to the public, one of the biggest challenges they face is the allocation of products (both the merchandise and the stock-keeping units) for store-fills.

What We Expect from You

Students need to imagine a store of 10,000 square-feet on a high-street urban shopping complex or a shopping mall and come up with a model that would best meet the local customs, product usage and expected revenue. The overall budget for the store fill is USD 100,000. Students have the liberty to make any assumptions which are rational and have a cultural fitment with the local populace/catchment area.

Deliverables: A Project Report, a Power Point Presentation, an algorithm (if required).

You are not expected to have specialised skills in any computer software.

Hackathon 3

Algorithms for Drones for Air-dropping Emergency Supplies

In strife-torn areas (due to natural calamities, wars, ethnic conflicts and other issues), making the emergency supplies available to the people under duress is a highly-complex challenge. Using cyber-warehousing and self-learning unmanned aerial vehicles (UAVs), there is a possibility of identifying the need and delivering supplies like ration, medicines and water to the affected area.

What We Expect from You

Students are expected to develop an algorithm that will help a self-learning drone to analyse its surroundings and make decisions on its own to air-drop the supplies. There is no counter-attack expected on the drones.

Deliverables: A project report mentioning the key points of the algorithm that would make the drone learn from the visuals and the environment of the affected area.