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https://github.com/balaji-avk/pneumowatch
A Website which detects the presence of pneumonia
https://github.com/balaji-avk/pneumowatch
flask machine-learning reactjs tflite tflite-model
Last synced: about 2 months ago
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A Website which detects the presence of pneumonia
- Host: GitHub
- URL: https://github.com/balaji-avk/pneumowatch
- Owner: Balaji-Avk
- License: apache-2.0
- Created: 2024-03-17T05:33:51.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-03-21T05:09:26.000Z (10 months ago)
- Last Synced: 2024-03-21T06:25:26.679Z (10 months ago)
- Topics: flask, machine-learning, reactjs, tflite, tflite-model
- Language: Jupyter Notebook
- Homepage: https://pneumowatch.vercel.app
- Size: 12.1 MB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
Awesome Lists containing this project
README
# PneumoWatch
A user-friendly web application designed to aid in the rapid
detection of pneumonia from chest X-ray images. Utilizing machine
learning algorithms,our solution analyses uploaded images in realtime, providing instant feedback on the presence or absence of
pneumonia. With a focus on simplicity and efficiency, PneumoWatch
aims to assist healthcare professionals in making timely and
accurate diagnoses, ultimately improving patient outcomes and
enhancing overall healthcare efficiency.
## Local Setup
Run Backend first then start frontend
Backend
```bash
pip install flask tensorflow flask_cors numpy
cd backend
python server.py
```
Frontend
```bash
cd frontend
npm install
```
head over to "pneumowatch/frontend/src/components/imgForm.jsx"
```bash
replace https://balajiavk.pythonanywhere.com/predict with http://localhost:5000/
```
start the frontend server
```bash
npm run dev
```
## Screenshots
## Accuracy
