AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit

Description

This project uses Deep learning concept in detection of Various Deadly diseases.

It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia.

It uses CT-Scan and X-ray Images of chest/lung in detecting the disease.

It has a Accuracy between 50%-80%.

It can take input in any Image format or through Live videos and provide accurate output results.

Attributions

Using @dusty-nv's Jetson inference (https://github.com/dusty-nv/jetson-inference)

Using these datasets

1)CT-Scan : https://www.kaggle.com/mohamedhanyyy/chest-ctscan-images/download

2)X-Ray : https://www.kaggle.com/jtiptj/chest-xray-pneumoniacovid19tuberculosis/download

Contact

For any query mail at:- abhishekbhandare92@gmail.com

LinkedIn:- https://www.linkedin.com/in/abhishek-bhandare-983223191/

Accessories & Resources

Jetson Developer Kit (2gb kit)
Type C power (5V) supply
Ethernet cable
HDMI Cable
Monitor with HDMI cable
Camera (Logitech C270 HD WEBCAM)
Keyboard & Mouse (wireless)
Memory card (more than 32 GB)
Optional: cooling fan, micro-USB cable(for headless mode)
Jetson-Inference With Docker File: https://github.com/dusty-nv/jetson-inference
Datasets:
CT-Scan:-https://www.kaggle.com/mohamedhanyyy/chest-ctscan-images/download
X-ray:-https://www.kaggle.com/jtiptj/chest-xray-pneumoniacovid19tuberculosis/download

Headings

Building Project from scratch

Running Pre-build Project

Model Accuracy