GoldenHour
GoldenHour is a service that detects cardiac arrests, seizures and fainting in users.
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Technologies Used
JavaScriptOpenCV
ReactJS
Computer Vision
Artificial Intelligence
Raspberry Pi
Advanced Python
ffmpeg
Nodejs
Expo
IBM Watson
Machine Learning
Project Team
About
GoldenHour is a one-of-its-kind service that detects cardiac arrests, seizures and fainting in users with the help of machine learning algorithms and technologies like Computer Vision. Upon successful detection of an emergency, the app contacts the nearest medical facility for help. GoldenHour has the potential to impact the lives of millions of people which will include heart, epilepsy patients and in general, people living alone.
Comments
Atulya Mahajan - 1493d
Interesting problem to solve, but relevant only for public places. Not a good idea to have people setup CCTVs in their homes/private spaces.
Vanshaj Vohra - 1493d
Thank you for your feedback sir. Our target audience consists majorly of senior citizens who often feel dependent on someone else. We aim to make them independent and safe.
Vanshaj Vohra - 1493d
Thank you for you feedback sir. We will surely aim to expand our service to hospitals in the future.
Niyam Bhushan - 1493d
This is a noble idea. Very tough to go to market as the stakes are high, big players in the market, Uuuuh cctv cameras tie-in is a tougher sell. Going to market with the camera is also competing with your own distribution as an OEM vendor. However, there are already such solutions.
Sairee Chahal - 1493d
911 for individuals - good use case - GTM will need solid operational chops and partnerships.
Palash Taneja - 1493d
Thank you for your feedback. Partnerships will be our first priority once we take our product to the market. We think companies will be interested because having this life-saving feature will give them an edge over their competitors in a saturated market.
Vanshaj Vohra - 1493d
Thank you sir!
Arnav Gupta - 1493d
Vanshaj Vohra - 1493d
Palash Taneja - 1493d