https://github.com/laraib-azmat/tensorflow_qna_model

React Native code using tesnorflow QnA model that answer the question according to provided context. This app contain Camera Screen, Upload to firebase Screen, Images of firebase Screen, and QnA Screen
https://github.com/laraib-azmat/tensorflow_qna_model

authentication firebase-database firestore qna react-native tensorflow

Last synced: 18 days ago
JSON representation

React Native code using tesnorflow QnA model that answer the question according to provided context. This app contain Camera Screen, Upload to firebase Screen, Images of firebase Screen, and QnA Screen

• Host: GitHub
• URL: https://github.com/laraib-azmat/tensorflow_qna_model
• Owner: Laraib-Azmat
• Created: 2024-04-19T13:34:34.000Z (8 months ago)
• Default Branch: master
• Last Pushed: 2024-04-19T14:04:02.000Z (8 months ago)
• Last Synced: 2024-04-19T14:52:23.175Z (8 months ago)
• Topics: authentication, firebase-database, firestore, qna, react-native, tensorflow
• Language: JavaScript
• Homepage:
• Size: 607 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# React Native Tensorflow qna model

Using MobileNet (Tensorflow AI Model) for Object Detection from Captured Images + Firebase Authentication /Storage + firebase-database

## TensorFlow AI Model

1. Used pretrained MobileNet model for object detection from images

2. Go to https://www.npmjs.com/search?q=tensorflow%20models to use Model of your own choice.

## Firebase Configuration

In **firebase.js** file add your firebase configuration object. The steps to obtain your object are:

1. Go to https://firebase.google.com/ and select “Get started” 

2. Create a new project ( a three-step process for creating project)

3. Select **"Add Firebase to your app"** by clicking either Android/iOS/Web/Unity/flutter

4. Add your project name and get creditional

## Method to run this project

1. Clone directory (git clone (https://github.com/Laraib-Azmat/Tensorflow_qna_model) or download ZIP to extract folder

2. Use powershell or VS code terminal to goto the project directory

3. Run command "npm install" (It will install the necessary packages of package.json file)

4. In Case of error on any package: Do npm install (pakage name)

5. Run command "expo start"