ONLINE HEALTH DISEASE PREDICTOR AND ANALYZER

PACKAGES / MODULES USED

• Python

  pandas, seaborn, numpy, matplotlib, openCV.

• Machine Learning

  Random Forest Classifier, KNN, Logistic Regression, SVM, CNN.

• Evaluation Metric

  Confusion matrix, Classification report.

TECHNOLOGY STACK

• Frontend
  • React, react-router-dom, recharts.
• Backend
  • Django, Rest API.

PROBLEM STATEMENT

• We intend to create a system to predict diseases using deep learning along with a health analyzer to maintain the report of the patient.

• Disease Prediction system based on predictive modeling predicts the disease of the user based on the symptoms that user provides as an input to the system.

FIREBASE FILE

You can download this files from Firebase after you make your project. Most of the fields will be already filled you have to get you API key and put it in the apiKey field.

import firebase from "firebase/app";
import "firebase/auth";
import "firebase/firestore";

// For Firebase JS SDK v7.20.0 and later, measurementId is optional
const firebaseConfig = {
  apiKey: "Your API key",
  authDomain: "Your authDomain",
  databaseURL: "Your databaseURL",
  projectId: "Your projectId",
  storageBucket: "Your storageBucket",
  messagingSenderId: "Your messagingSenderId",
  appId: "Your appId"
  measurementId: "Your measurementId",
};

firebase.initializeApp(firebaseConfig);

// provider
export const firebase_provider = new firebase.auth.GoogleAuthProvider();

// auth
export const auth = firebase.auth();

// firestore
export const firestore = firebase.firestore();

MEMBERS

Roll No.	Name
57	Nikeshsingh Baghel
64	Prathamesh Channe
69	Rishabh Rathi
75	Shreyas Barve
88	Aditya Sharma