Object Detection System for Visually impaired Persons
- The project is using a deep learning algorithm YOLO v5 which is about 2.5 times faster than other CNN algorithms
- As output, it tells the user the name of object present in front of the user/camera
- It can be used as motion sensor camera of surveillance camera
Monument Identification and detailing device
- The project is using a deep learning algorithm YOLO v5 which is about 2.5 times faster than other CNN algorithms
- As output, it tells the user the ndetails of the Monument such as the place where it is situated, current temparature of the place, distance of the monument from user's current location etc.
- Other than these, it can be used as an assistant by commomn people or by local guides to promote tourism
Health & Habit Tracker
- The project receives some useful insights such as activity minutes, heart rate from Google Fit API, location info from IP address and and store these data in a database.
- These data are later used to extract information like Blood-Pressure, Sugar Level and Pulse rate of the user in real time