akshat-nathani / medai

Wound detection website using CNN model

MedAI

Tracks : Revolutionising Sustainability

Problem Statement : Develop a system that aids the wounded by telling them the type of medicine they need to get.

Overview

This project is a demonstration of utilizing machine learning and artificial intelligence techniques with a frontend application built using modern web development skills. The backend is powered by FastAPI, providing a robust and efficient API for serving predictions and handling data.

Features

1. Machine Learning Models : Various machine learning models are employed to perform tasks such as classification, regression, or clustering, depending on the project's requirements.
   
2. Frontend Development : The frontend is developed using cutting-edge web technologies, ensuring an intuitive and visually appealing user interface.
   
3. FastAPI Backend : FastAPI is used as the backend framework, offering high performance and ease of development for creating RESTful APIs.
   
4. API Documentation : Detailed documentation for the API endpoints is provided using Swagger UI, making it easy for developers to understand and interact with the API.