2nd Runner up Microsoft Code.fun.do++ National Challenge 2019 (Microsoft AXLE 2019)
Winners Microsoft Code.fun.do++ @IITJ 2018
IIT Jodhpur
Project developed for Microsoft code.fun.do hackathon 2018 Project Video submission: https://www.youtube.com/watch?v=_PcUHHltb04 Link: http://disaster-chain-1.eastus.cloudapp.azure.com
Team Name: The DarkSide
College: Indian Institute of Technology, Jodhpur
Team Members:
- Anshul Ahuja
- Aksh Chordia
- Ayush Saxena
After going through the issue in particular, a need was observed that targetting a specific Calamity will not impact a large population, hence we propose: Our project split in parts targeting different calamities, with a plan to integrate them all together under one common Disaster Management Solution.
Part 1: Earthquake management system
- A distributed IOT based solution for earthquake detection and early warning system.
- Using Raspberry Pi as a central Hub for multiple IOT solutions and Node MCU units acting as slave boards deployed in different rooms of a given building providing real time data to the central hub through API calls and also capable of handling both security and automation in those rooms
- The central hub is connected to Azure through REST API calls to provide a dashboard monitoring system and as an early warning system.
- Using Azure IOT Hub for above implementation.
- The central hub is responsible for following safety protocols such as
- Kill the power, water and gas supply to prevent further hazard to people.
- Sound based warning system.
- Keep track of number of people inside to ensure everyone left the building.
Part 2: Skin disease prediction after Floods
- Using Custom Vision service of Azure cognitive services to predict different type of skin diseases which may arise during a flood scenario.
- The accompanying Web App/Android App communicates with Custom Vision service through REST API calls.
- Eliminates the need Medical Test when there is lack of infrastructure during a calamity.
- Provide faster medical diagnosis.