THEGURUJ1 / AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit
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…
☆31Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit
- DiagnoSys is a comprehensive web application that provides advanced detection and analysis for various health conditions. This project le…☆12Updated 6 months ago
- Jetson Nano AI Blink Detection and Reminder Project. This project is aimed to keep a users eye safe while on the computer. Winner of NVID…☆19Updated 2 years ago
- Low-cost, portable, super resolution ultrasound imaging system. It’s an 8-channel transceiver with 16 analog multiplexes to time-multiple…☆12Updated 3 years ago
- This project showcases a series of code (mainly Python) towards creating an autonomous drone using Raspberry Pi Pico. This project also s…☆19Updated 2 weeks ago
- A lightweight React app leveraging Speech Command Recognition from Tensorflow.Js☆15Updated 3 years ago
- A complete app leveraging Tensorflow.JS and React for real time object detection.☆13Updated 4 years ago
- This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.☆49Updated 8 months ago
- All my research resources related to Mars Rover☆14Updated 2 years ago
- Control DJI Tello using Raspberry Pi Zero and Xbox One S Controller☆46Updated 4 years ago
- ☆12Updated last year
- Race Timer with OpenCV☆12Updated 7 months ago
- Autonomous AI powered checkout system for retail stores☆30Updated last year
- This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy …☆55Updated last year
- Glaucoma detection using Deep Neural Networks☆36Updated 4 years ago
- A project using Dlib, OpenCV Python based on facial landmark detection.☆51Updated last year
- In this project various dental diseases like caries, periodontics, impacted teeth etc. are detected and localized in panoramic dental x-r…☆26Updated 7 months ago
- A drone software in MicroPython on Raspberry Pi Pico☆13Updated last year
- Cutting-Edge Artificial Intelligence on the Jetson Nano used to decode Brain Waves (EEG) on the Edge☆33Updated 4 years ago
- 2D-Lidar-controlled autonomous vehicle with ESP32 and Bluetooth☆26Updated 2 years ago
- This repo includes Glioma Segmentation with Mask R-CNN and U-Net.☆62Updated 4 years ago
- ☆28Updated 3 years ago
- How to build an inexpensive mini radar system with a live dashboard☆17Updated 3 years ago
- HealthyPi v4 is a fully open source, standalone vital signs monitor with wireless and wearable capabilities.☆39Updated last year
- ☆41Updated 2 months ago
- 🎗 This is an Android app to detect melanoma skin cancer using tensorflow mobile.☆21Updated 4 years ago
- tinyml library for Arduino☆15Updated 3 years ago
- ☆35Updated 4 years ago
- ☆14Updated 6 years ago
- The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation use…☆24Updated 2 years ago
- Dental Caries Classification☆11Updated 6 months ago