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Technologies Used
AndroidBlockchain
Node.js
HyperLedger
TypeScript
IBM Watson
AWS Amplify
Machine Learning
RxKotlin
Project Team
About
An application allows to upload a photo of the building or its part – a wall for example, and analyses the photo to estimate the risk of the building to crash during an earthquake or a hurricane. For buildings at risk our platform allows to organize funding to repair it. The funding process is maintained transparent by keeping all the transactions in the open distributed ledger. we are challenged to AWS, IBM, ANGELHACK
Comments
Vladimir Ovcharov - 1580d
how do we make money? We have a fee from any payment of users want to repair their buildings via connected USDT (Tether ) wallet inside the application
heejung Won - 1580d
Core technologies identifying the risk level of the building cracks should be explained more. Technological uniqueness is more important to implement this business model better to have a fund and make money.
BASIL GORIN - 1580d
Thanks for feedback. Its based on the data model training in cooperation with building condition assessment experts. As our data set grows, the quality of assessment also grows.
Sunkyung Ko - 1580d
how can do you know the building condition exactly? the information should be very exact
BASIL GORIN - 1580d
We are not replacing building condition assessment companies. We cooperate with them. We optimize the visual based analysis of the building condition.
BASIL GORIN - 1580d
We are not replacing building condition assessment companies. We cooperate with them. We optimize the visual based analysis of the building condition.
Vladimir Ovcharov - 1580d
application uploads several photo of walls to recognise is there are any cracks. To get more detailed answer of how much danger the crack is reveal, we have to increase amount of photos of damaged walls in a database to train IBM Watson network
Vladimir Ovcharov - 1580d
application uploads several photo of walls to recognise is there are any cracks. To get more detailed answer of how much danger the crack is reveal, we have to increase amount of photos of damaged walls in a database to train IBM Watson network
Bomi Yu - 1580d
Vladimir Ovcharov - 1580d
Vladimir Ovcharov - 1580d