FLUTTER ECOSYSTEM

prathamesh-mutkure/anti-cheat-exam-app

Flutter App that aims to reduce cheating in online exams with power of AI and ML

View on GitHub ↗

Stars: 62
Forks: 13
Last push (UTC): Nov 14, 2022
Project status: Active

GITHUB User

Prathamesh Mutkure ↗

Pune, IndiaOfficial website ↗

LanguagesDartRubySwiftKotlinObjective-C

Technical topics

# firebase # flutter # google-ml-kit # express # mongodb # nodejs

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Dependencies used

Dependency list 21 items

flutter{"sdk":"flutter"}
cupertino_icons^1.0.2
mobx^2.0.7+4
flutter_mobx^2.0.6+1
provider^6.0.3
dio^4.0.6
camera^0.9.8+1
path—
path_provider^2.0.11
google_mlkit_face_detection^0.3.0
timer_count_down^2.2.1
flutter_easyloading^3.0.5
http^0.13.4
date_format^2.0.6
duration^3.0.11
confirm_dialog^1.0.1
flutter_dotenv^5.0.2
image^3.2.0
flutter_testDevelopment{"sdk":"flutter"}
build_runnerDevelopment^2.1.11
mobx_codegenDevelopment^2.0.7

App categories

Education

Original README

English project snapshot. Visit GitHub for the latest content.

Expand / collapse project README

Anti-Cheat Exam App 🌟

An App that aims to stop cheating in online exams with the power of AI and ML, co-created with Samyak Sukhdeve

We also have a web version of the app with more features and better features, check that project here

https://user-images.githubusercontent.com/28570857/178106216-25d91b1c-06cf-42fa-85fc-cf3540868b1f.png

Features and Interfaces

Login Page
- Login with the provided user id and password
- Powered by JWT tokens
Home page
- Shows all the exams assigned to the user
- The user can start an exam only on the correct timeslot
- Logout through button in the app bar
Exam Page
- The user can answer MCQ-based questions
- The user can also view their progress
- image
AI-powered face motion detector
- We've used Google's on-device ml-kit to track the motion of the user's face.
- We can check if a user is trying to cheat by monitoring the position of their face
- image

Tech stack

Frontend

Flutter
MobX + Provider

Backend

Nodejs
Express
MongoDB

Frontend

Next.js (React)
TypeScript
Redux

Other Tools

Google's on-device ML Kit

Points to remember while testing the app

First setup the backend by following instructions in this repository
When testing on android emulator, if you get a connection error use http://10.0.2.2/ instead of localhost
iOS emulator doesn't support camera, this will give an error, use a real device to test AI features.
On real devices, make sure your PC and mobile are connected to same network, use network IP address instead of localhost
Don't forgot the PORT number
Allow permissions for camera and mic when asked
Make sure the BACKEND_URL is appended with /api

Instructions

Import the project through Android Studio or clone it
- https://github.com/prathamesh-mutkure/anti-cheat-exam-app.git
Install flutter packages
- flutter pub get
Generate store classes
- flutter packages pub run build_runner build
Create a .env file and set the following variables
- BACKEND_URL
Connect your device or emulator and run the app
- flutter run
The app is now running

Useful Links

Project Demo for Web version
Mobile App (Android & iOS)
Backend Repository
Project Thesis (Submitted mobile app as final year project for my diploma)

Need help?

Feel free to contact me on Twitter or LinkedIn, know more about me at prathamesh.co

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