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OralScan AI

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.

Local Setup

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

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Accuracy

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Oral Cancer Detection - SDP Project

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  • JavaScript 76.2%
  • CSS 12.2%
  • Python 9.2%
  • HTML 2.4%