Inspiration
Doctors facing problems from all around the world.
What it does
It identifies IMPRO Implants of human anatomy.
How we built it
We first developed the algorithm using open source community.
Challenges we ran into
few parameter were not matching up with the scenarios but we solved it.
Accomplishments that we're proud of
we're proud that we're near to the project completion with an accuracy of 83%
What we learned
How to train the ML model for AI and how to define problem statement and parameter.
What's next for Automated Implants Detection: IMPRO
Automated Implants detection will be trained for whole body implants detection
Built With
- ai
- api
- database
- google-collab
- javascript
- machine-learning
- python
- yolo
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