A user-friendly web application designed to aid in the rapid detection of early-stage cancerous laryngeal tissues from tissue images. Utilizing machine learning algorithms,our solution analyses uploaded images in realtime, providing instant feedback on the presence or absence of laryngeal with tissue classes. With a focus on simplicity and efficiency, OralScan AI aims to assist healthcare professionals in making timely and accurate diagnoses, ultimately improving patient outcomes and enhancing overall healthcare efficiency.
Run Backend first then start frontend
Backend
pip install flask tensorflow flask_cors numpy
cd backend
python server.py
Frontend
cd frontend
npm install
head over to "oral-cancer-detection/frontend/src/components/ImgForm.jsx"
replace https://oral-cancer-backend-1.onrender.com/predict with http://127.0.0.1:5000/predict
start the frontend server
npm run dev