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Home Pro-Tech

Seed and Progress Award

Progress Round Amount: $56,000

Seed Round Amount: $30,000

Challenge Award 

This image shows black and white photos of three women and one man with a green ribbon marked "Very Good"

Project Summary

Our app uses machine learning models to generate pre-incident plans, floor plans, and safety checklists for homeowners through image recognition and semantic classification.​ The app also decreases response time and loss of life by providing critical life saving information to first responders during emergency responses. ​Insurance companies are then able to verify safety equipment, incident plans, and other data to improve risk modeling and save homeowners on their premium.​ Currently no applications in this area for the specific needs outlined by the challenge​. Our technology and application will be leaps and bounds above the current half-solutions​. Providing information critical to saving lives will be much easier with this product, achieving the goal of this challenge​.


    Created August 4, 2020, Updated December 23, 2022