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README.md

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-# OSMF Detection System
-
-A modern web application for Oral Submucous Fibrosis (OSMF) detection using deep learning and computer vision.
-
-## Features
-
-- Real-time webcam capture
-- Image upload capability 
-- OSMF detection and classification
-- Confidence score prediction
-- Modern responsive UI
-- Docker support
-
-## Tech Stack
-
-- Flask (Backend)
-- HTML/CSS/JavaScript (Frontend)
-- YOLO (Deep Learning Model)
-- OpenCV (Image Processing)
-- Docker (Containerization)
-
-## Installation
-
-1. Clone the repository:
-```bash
-git clone https://github.com/yourusername/osmf-detection.git
-cd osmf-detection
-
-README.md
-Install dependencies:
-pip install -r requirements.txt
-
-Run the application:
-python app.py
-
-Docker Deployment
-Build the Docker image:
-docker build -t osmf-detection .
-
-Run the container:
-docker run -p 5000:5000 osmf-detection
-
-Project Structure
-osmf-detection/
-├── app.py
-├── requirements.txt
-├── Dockerfile
-├── static/
-│   └── style.css
-├── templates/
-│   └── index.html
-└── models/
-    └── best.pt
-
-Usage
-Open your browser and navigate to http://localhost:5000
-Choose between:
-Uploading an image
-Capturing through webcam
-Click "Analyze" to get OSMF detection results
-Model Information
-The system uses a YOLO-based model trained on OSMF images for:
-
-Classification
-Confidence scoring
-Real-time detection